Trend Detection Podcast

When a Small Vibration Signal Prevents a Major Failure - with Emily Trott

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 26 May 2026 06:31:14 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – which gives you visibility and insights into all your assets, from single machines to full plants to help you reduce downtime, increase knowledge sharing and accelerate digital transformation across your organization.

In this episode of the Trend Detection podcast, we’re joined by Emily Trott from BlueScope Steel to unpack a real-world predictive maintenance success case, where a single vibration sensor helped prevent a critical failure before it happened.

It’s a practical, end-to-end story of how AI, engineering expertise, and process come together to move from early signal to real intervention — and how that translates into avoided downtime and operational impact.

What you’ll learn in this episode:

How a small vibration signal led to the discovery of a hidden failure on a connected asset
Why predictive maintenance is not one alert → one fix, but a multi-step investigation involving both AI and human expertise
The gap between traditional monitoring and predictive maintenance and why most failures are only detected when it’s already too late
How combining Senseye insights with on-site expertise changes the outcome from reactive to controlled intervention
Why sharing success cases internally is key to driving adoption, scaling, and new use cases across sites

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

To find out more about Bluescope Steel's approach to asset intelligence, please watch the video below:

https://www.youtube.com/watch?v=0dnDST5B1V4

What Actually Works in Senseye Deployments - A Panel Discussion

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 18 May 2026 15:31:07 +0000

In this episode, we're joined by three Senseye deliver experts to share real-world lessons from Senseye deployments.

They will discuss what actually works, what doesn’t, and what separates successful projects from the rest.

What you’ll learn in this episode:

Why choosing the right assets early is critical to proving value and building momentum
How data quality and context (not volume) determine success in predictive maintenance
Why early wins are essential to drive trust, adoption, and scaling across teams
The common pitfalls in implementations, from wrong failure assumptions to poor asset selection
How successful deployments depend on combining AI with real-world expertise and customer ownership

Data-driven manufacturing at Arca Continental: With Insights Hub and Senseye Predictive Maintenance

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 12 May 2026 08:36:43 +0000

In this episode, we’re joined by experts from Siemens live from Hannover Messe 26 to explore how Arca Continental, one of the world’s largest Coca-Cola bottlers, is driving a data-led manufacturing transformation across its global operations, and how combining transparency, predictive maintenance, and a strong digital foundation is unlocking measurable operational impact at scale.

What you’ll learn in this episode:

How Arca Continental is scaling digital transformation across 45 sites by starting with transparency (OEE, cost, loss drivers) before moving to advanced use cases
Why predictive maintenance success depends on strong cultural alignment and early digital maturity — not just technology
A real-world example delivering impact in days — saving 13 hours of downtime on a critical production asset
How Insights Hub provides a unified data foundation to connect use cases, systems, and workflows at scale
What’s next: expanding with AI, contextualized data, and prescriptive insights to drive continuous operational improvement

Digital Drivetrains & Predictive Maintenance: Turning Motion Data into Action - with Louis Mahlau

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 06 May 2026 15:32:28 +0000

In this episode, we’re joined by Louis Mahlau, Product & Portfolio Manager - IoT & Analytics at Siemens, who explores how digital drivetrains are transforming the way industrial assets are monitored and maintained and how combining IoT, AI, and domain expertise is unlocking a new generation of predictive maintenance.

What a digital drivetrain is and why it underpins so much of modern industrial operations
How predictive maintenance shifts organizations from reactive and preventive approaches to truly predictive insights
How sensors, connectivity, cloud computing, and digital twins come together to turn raw machine data into actionable intelligence
A real-world example of how connecting a single motor enabled early detection of issues before production downtime occurred Where the true value lies beyond technology — including data quality, scalability, and change management
Why many pilots fail to scale, and what successful organizations do differently from the start
How industrial AI and copilots are making complex machine data easier to understand and act on
What the future looks like — from prescriptive maintenance to autonomous, self-optimizing systems

Seeing the Invisible: From Strobe Lights to Modern Predictive Maintenance - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 27 Apr 2026 10:23:47 +0000

In this episode, we’re joined by Richard Ella, who takes a step back in time to show how some of the most powerful ideas in predictive maintenance aren’t new at all and why understanding their origins is key to explaining, adopting, and trusting AI today.

What you’ll learn in this episode:

Why modern AI‑driven predictive maintenance follows the same principles as earlier mechanical and electrical innovations
How the strobe light was originally invented for maintenance and what it teaches us about “seeing” machines differently
A simple, practical way to explain AI and Senseye without buzzwords or hype
How AI mirrors the instincts of experienced plant operators by detecting subtle changes before failure
Why curiosity, trust, and change management matter more than the technology itself
How early warnings become real value only when teams act on them

Predictive Maintenance - Real-world phases + what actually happens after kickoff) - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 22 Apr 2026 08:07:57 +0000

In this episode, we're joined by Tom Jacques, a Solutions Engineer for Senseye at Siemens, to break down what predictive maintenance looks like in the real world, from kickoff to daily use and scale.

What we cover:

What actually happens during the first 30–60 days of a predictive maintenance project
How proper scoping, asset selection, and data availability set projects up for success
Where projects commonly slow down or stall, including resource constraints and misaligned expectations
How pilots transition into day‑to‑day operational use
What creates real “aha moments” for maintenance teams
Why trust is the key factor in getting teams to act on insights
How Senseye Copilot supports decision‑making without replacing human judgement
What separates pilots that scale successfully from those that remain stuck in PoVs

Connect with Tom on LinkedIn here:

https://www.linkedin.com/in/thomas-jacques-22655585/

When Predictive Maintenance Is (and Isn’t) the Right Tool for Your Plant - with Natalie Kurgan

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 15 Apr 2026 08:02:44 +0000

In this episode, we’re joined by Natalie Kurgan, Head of Delivery for Senseye across the Americas at Siemens, who shares a delivery‑side view of when predictive maintenance is (and isn’t) the right fit—and what plants need in place before they start:

Why predictive maintenance is a strategy, not a tool, and why success depends on people + process, not software alone.
The readiness checklist that’s often missing: leadership support, a clear workflow, and a technically minded champion who drives action.
Where projects go wrong in practice—from weak ownership to poor asset selection and low/limited data quality.
What PdM can realistically deliver (planning spares, reducing unnecessary planned work, avoiding risky unplanned failures) vs. what it can’t.
How AI copilots help and their limits: they need context and feedback; they don’t replace human judgement.
If you’re not ready yet, how to get there: define KPIs, audit maintenance logs, identify problem assets, then assess what data/sensing you actually have.

From AI Lab to Shopfloor: What It Really Takes to Deploy Industrial AI - with Christian Zillner

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 08 Apr 2026 08:00:44 +0000

In this episode of the Trend Detection podcast, we’re joined by Christian Zillner, who leads global AI deployment for Digital Industries Automation at Siemens, to explore what it really takes to scale industrial AI from experiments to real shop‑floor impact.

Drawing on hands‑on experience across industries, Christian shares practical lessons on what works, what doesn’t, and why many AI initiatives struggle to move beyond pilots, including:

What industrial AI deployment really means—going beyond algorithms to include business cases, ownership, services, and organisational change
Why many AI pilots fail to scale, from unrealistic expectations to non‑serviceable, custom architectures
The human side of IT/OT convergence, and how unclear roles and ownership can derail progress
How to choose between cloud, edge, or hybrid AI based on latency, security, cost, and operational constraints
The role of partners and ecosystems in taking AI from the lab to production
Where AI delivers real value today—and where expectations still need grounding
Why standardising the deployment platform early is critical to long‑term scalability
Practical advice for moving from experimentation to production with a small set of repeatable, high‑value use cases

A refreshingly realistic discussion on industrial AI for anyone responsible for digitalisation, automation, or AI strategy in manufacturing.

Connect with Christian on LinkedIn

https://www.linkedin.com/in/christian-zillner/

The Evolution of Industrial Data: From Sensors to Strategy - with Vlad Romanov

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 01 Apr 2026 11:28:42 +0000

In this episode, we're joined by Vlad Romanov, an industrial automation and data integration specialist with experience spanning plant‑floor engineering, systems integration, and enterprise strategy, who shares a practical view on how industrial data moves from machines to board‑level decisions:

What industrial data really is, starting at sensors and control systems on the plant floor and evolving into decision‑ready information used across SCADA, MES, and enterprise systems.
How data flows from machines to strategy, explaining the progression from standalone equipment, to production lines, to site‑wide and multi‑site performance insights.
Why digitalisation has accelerated in recent years, particularly post‑COVID, as manufacturers needed remote visibility, faster decision‑making, and more resilient operations.
The reality of IT/OT integration, including cultural differences, conflicting priorities, and why alignment and over‑communication matter more than technology alone.
Where AI and machine learning add value today—and where they don’t yet, highlighting realistic use cases such as analysis support, infrastructure modernisation, and decision assistance rather than full autonomy.
What separates successful data initiatives from failed ones, including mindset, patience, iterative improvement, and the willingness to modernise legacy infrastructure step by step.

Connect with Vlad on LinkedIn:

https://www.linkedin.com/in/vladromanov/

Reliability in Regulated Plants: 5 Rules That Actually Scale - with Steve Lomax

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 24 Mar 2026 12:23:50 +0000

In this episode, the host is joined by Steve Lomax, an independent reliability and maintenance consultant with decades of experience in highly regulated pharmaceutical environments, who shares a practitioner’s perspective on predictive maintenance, reliability, and digital transformation.

What predictive maintenance really means in regulated industries, focusing less on “magic AI” and more on reducing uncertainty, managing risk, and stabilising critical processes.
Why reliability must be framed in business language, connecting maintenance decisions to availability, risk, patient impact, and CFO‑level financial outcomes.
How global standards and local realities must coexist, with predictive maintenance deployed through a common framework but adapted site‑by‑site based on maturity, assets, and regulation.
Why data quality, simplicity, and cultural readiness matter more than more sensors, starting with existing data and building trust in digital records and AI‑supported insights.
How to introduce predictive maintenance without overwhelming teams, by focusing on asset criticality, bad actors, cross‑functional ownership, and a clear reliability roadmap.

Connect with Steve on LinkedIn:

https://www.linkedin.com/in/steve-lomax-56730912/

Learn more about Rheon Insights:

https://www.rheoninsight.co.uk/

From Student to Senseye Educator: Predictive Maintenance in the Classroom with Jasleen Kaur

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 18 Mar 2026 14:06:44 +0000

In this episode, we're joined by Jasleen Kaur, a graduate electrical and electronics engineer at Siemens Digital Industries, who shares her firsthand experience delivering industry‑led education through the Connected Curriculum initiative.

How industry and academia can work together effectively through initiatives like Connected Curriculum to close the skills gap between university education and real-world engineering roles.
The practical difference between condition monitoring and predictive maintenance, and why predictive maintenance adds real value by anticipating failures and reducing unplanned downtime.
How AI-powered tools like Senseye (and its Copilot) help beginners and professionals alike interpret machine data, troubleshoot issues, and make informed maintenance decisions using natural language.
What a real-world, hands-on predictive maintenance course looks like, including the use of synthetic data, staged learning over several weeks, and practical platform experience rather than theory alone.
Why human judgment still matters in an AI-driven workplace, and how students are taught to combine critical thinking with AI insights rather than relying blindly on automated recommendations.

Connect with Jasleen on LinkedIn:

https://www.linkedin.com/in/jasleen-kaur-907391268/

Previous episodes about Connected Curriculum

https://podcasts.apple.com/ca/podcast/hands-on-with-ai-bringing-senseye-to-the-classroom/id1589803102?i=1000724963690

AI-based Predictive Maintenance from the factory floor to the cloud - live from SPS

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 11 Mar 2026 12:04:11 +0000

In this episode, the host is joined by Tobias, Head of Maintenance and Improvement at Siemens, alongside Pablo and Anya, to share a real‑world predictive maintenance journey from Siemens’ highly automated Cham factory in Bavaria.

They explore how unplanned downtime drives lost output, rising costs, and customer impact—and why predictive maintenance starts with shop‑floor visibility, not just software.

The conversation walks through how Siemens combined smart hardware, OT modernisation, and AI‑driven analytics to predict failures before they happen, even in a brownfield environment with live production.

Using Senseye Predictive Maintenance, maintenance teams gain clear insights, explanations, and recommended actions—helping them focus on critical assets and avoid firefighting.

With early results already preventing multiple breakdowns, the episode also looks at how Siemens plans to scale the approach across factories and embed predictive maintenance earlier in the machine lifecycle.

A practical, experience‑led look at how predictive maintenance delivers value on the factory floor.

Read the reference in full below:

Siemens Cham, Germany - Reduced unplanned downtime with Senseye Predictive Maintenance

Finding the Right Predictive Maintenance Partner - with Kelli Case

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 03 Mar 2026 12:15:06 +0000

In this episode, Liz McGinn is joined by Kelli Case, a Business Development Director for Senseye at Siemens, who shares practical guidance drawn from her experience working with organizations adopting predictive maintenance.

Why choosing a predictive maintenance partner is a strategic, long‑term decision, not just a software purchase—covering culture change, transformation, and sustained value.
How to assess your organization’s readiness for predictive maintenance, including maintenance maturity, data access, internal capabilities, and willingness to change.
What separates a strong PDM partner from a weak one, such as listening skills, adaptability, domain experience, global support, and the ability to scale with your business.
Key technology and architecture considerations to look for, including openness and vendor agnosticism, data ownership, security, configurability vs. customization, and integration across systems.
How to avoid common pitfalls and measure success, from unrealistic promises and long time‑to‑value to proving ROI quickly, enabling user adoption, and planning for future evolution toward prescriptive maintenance.

From Copilots to Agentic AI in Manufacturing — with Lina Huertas

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 25 Feb 2026 12:15:30 +0000

In this episode, we’re joined by Lina Huertas, Industry Executive for Manufacturing at Microsoft UK, to explore how generative AI, copilots, and agentic AI are reshaping digital manufacturing — not just speeding up tasks, but changing how work is designed, delivered, and governed.

We unpack the difference between copilots (which assist and enhance human work) and AI agents (which can complete tasks end‑to‑end within defined boundaries), and what this shift could mean across the shop floor, engineering, and back office.

You’ll learn:

How copilots and agentic AI differ — and why that matters for manufacturing workflows and roles.
How organisations are thinking about moving from assistance to more end‑to‑end task execution (with human oversight and clear boundaries).
Why human–AI collaboration is becoming a core capability, with work shifting toward supervision, decision‑making, leadership, and critical thinking.
The key barriers to scaling AI in manufacturing: data silos, fragmented systems, shadow IT, and organisational structure.
The skills manufacturers (and individuals) need next: hands‑on AI literacy, “learning how to learn,” and leading in a workforce that increasingly includes AI systems.

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/linaahuertas/

Beyond the AI Hype: What Actually Works in Manufacturing - with Nick Leeder

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 18 Feb 2026 12:09:26 +0000

What you will learn in this episode:

Why many industrial AI initiatives fail to move beyond pilots, despite heavy investment and executive attention.
How AI hype and “fear of missing out” often lead companies to start with the technology rather than the business or process problem.
Why process maturity, data relevance, and context are essential prerequisites before applying AI at scale.
How to identify repeatable, scalable AI use cases—with predictive maintenance highlighted as a strong example.
What to measure to prove success, including operational impact, financial value, and real improvements to frontline workers’ day‑to‑day work.

Connect with Nick on LinkedIn:

https://www.linkedin.com/in/redeel/

Applying AI to Predictive Maintenance at Scale: A Senseye Perspective

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 11 Feb 2026 12:01:03 +0000

In this special episode with David Humphrey, Director of Research, ARC Europe, we discuss:

How predictive maintenance has evolved from scheduled inspections to data‑driven decision‑making using connected machine data.
What Senseye Predictive Maintenance is, how it works as a cloud‑based analytics application, and where it fits within Siemens’ broader asset and maintenance portfolio.
How machine learning and generative AI are used to detect abnormal asset behavior and translate complex analytics into actionable maintenance guidance.
How historical machine data, maintenance records, and technical documentation are leveraged to speed diagnosis and reduce dependency on individual expert knowledge.
Why scalability, usability, and organizational adoption are critical success factors for predictive maintenance programs operating at hundreds or thousands of assets.

Wireless Multisensors Meet Predictive Maintenance - with Niklas Frey

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 04 Feb 2026 12:49:25 +0000

This episode covers:

How the SITRANS MS200 wireless multisensor measures vibration, temperature, and magnetic fields to enable condition monitoring on rotating and vibrating assets.
Why retrofittable, battery-powered sensors are key to bringing predictive maintenance to assets that previously had no condition data.
How the CC220 gateway integrates seamlessly with Senseye Predictive Maintenance, supporting both stand‑alone deployments and existing IT infrastructures via MQTT.
What makes the solution highly flexible and scalable, from single gateways to plant‑wide sensor networks without complex IT overhead.
Where the MS200 roadmap is heading, including configurable measurement cycles, on‑sensor KPI calculation, improved battery life, and expanded frequency ranges for future applications.

Creative Thinking in Predictive Maintenance: A Conversation with Jordan Walters

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 28 Jan 2026 12:08:39 +0000

This episode covers:

The Essence of Creativity in Engineering: How creative thinking is crucial for innovating solutions to complex problems in predictive maintenance (PM), moving beyond established methods to develop bespoke approaches for each customer.
Unconventional Problem-Solving with Existing Tools: Discover how seemingly limited data, like temperature readings from electric car charger pins, can be creatively manipulated using features like "derived measures" to detect degradation, even when traditional sensor deployment isn't feasible.
Bridging the Gap: From Industrial Practice to Education: Learn about the "Connected Curriculum" initiative, which brings Senseye to university students, and the creative adaptations needed to teach real-world data challenges (like noisy or incomplete data) and PM principles in an academic setting.
Debunking Misconceptions about AI and Data: Understand that perfect data is a myth and that effective AI in PM, like Senseye, thrives on curated, clean data focused on specific condition indicators, rather than a "big data" dump, to provide nuanced and accurate insights.
AI as an Enabler for Human Creativity: Explore how AI serves as a powerful tool to support and amplify human ingenuity in engineering, emphasizing the importance of asking questions, providing context, and fostering a collaborative environment to drive innovation and personal growth in the field.

Vibration Analysis 101: Unlocking the Power of Predictive Maintenance - with Chris Garrison

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 20 Jan 2026 11:52:56 +0000

This episode covers:

The Evolution of Vibration Analysis: Discover how this crucial predictive maintenance technique has evolved from manual listening with a screwdriver to sophisticated instrumentation, enabling early detection of equipment issues weeks in advance.
Best Practices for Implementation: Understand the importance of careful planning, selecting the right sensors for specific assets, and conducting criticality assessments to avoid common pitfalls like "whack-a-mole" problems and ensure a strong return on investment.
Why Vibration Analysis is a Foundational PDM Technology: Explore its broad applicability across various industrial equipment and environments, making it one of the most comprehensive methods for identifying a wide range of fault modes compared to more niche predictive maintenance technologies.
The Game-Changing Impact of AI and Cloud: Learn how these advanced technologies have revolutionized vibration analysis by enabling rapid data interpretation, providing remote access to expert insights, offering scalable monitoring solutions for any facility size, and ensuring continuous software updates.
Achieving Actionable, Contextualized Insights: Find out why cross-departmental cooperation is vital for successful implementation and how AI-driven platforms like Senseye provide tailored recommendations by understanding a facility's unique operational context, maintenance history, and risk tolerance.

IoT Time - with Peter Schopf

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 13 Jan 2026 12:00:57 +0000

This episode covers:

The Realistic Path to AI Adoption: Peter clarifies that while autonomous AI agents are exciting, they are still in early research. Companies should prioritize mastering foundational stages like strategic prompting and AI assistance before diving into complex agent workflows.
Unlocking the Power of Strategic Prompting: Discover the difference between "operative prompting" (for direct outputs) and the often-underutilized "strategic prompting," where AI helps structure complex problems and create frameworks for future solutions, offering significant benefits.
Debunking AI Myths and Misconceptions: Learn to navigate the "fake news" around AI, including exaggerated project failure rates and the notion of AI "getting dumber," by understanding the context behind such claims and focusing on reliable insights.
Treating AI Like a "Working Student": Gain insights into effectively interacting with generative AI by treating it as a collaborative "working student," emphasizing the critical role of providing clear context, examples, and iterative feedback for optimal results.
Navigating the "Build vs. Buy" Dilemma for AI/IoT: Explore the strategic considerations for companies deciding whether to develop their own AI and IoT solutions or integrate existing market offerings, and how this decision impacts differentiation and resource allocation.

The Digital Leap: An Engineer's Journey from Shopfloor to Senseye - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 07 Jan 2026 11:41:32 +0000

This episode covers:

Tom's unique career journey: Discover how his path from hands-on agricultural maintenance and shop floor experience led him to become a solution engineer at Siemens, showcasing a fascinating blend of mechanical and digital expertise.
The transformative power of diverse experience: Understand how having a broad perspective, including practical insights into various industries and machine failure modes, is crucial for developing effective, customer-centric solutions.
Insights into the evolution of Predictive Maintenance (PM): Explore how AI and intelligent software are moving PM beyond basic condition monitoring, making it more accessible, accurate, and capable of anticipating failures across all types of assets.
How Siemens' Senseye tackles real-world industrial challenges: Learn about its agnostic solution that quickly baselines machines, digitalizes expert knowledge, and provides tangible insights to optimize operations, reduce downtime, and enhance safety.
A glimpse into the future of industrial maintenance and valuable career advice:
Hear about exciting upcoming trends like simpler wireless sensors and advanced AI integration, along with practical tips on becoming an "expert generalist" and fostering continuous learning in a rapidly evolving field.

Senseye in Action – Predictive Maintenance für die smarte Fabrik

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 15 Dec 2025 13:34:09 +0000

Levin Burkhart wird Ihnen mehr über Senseye Predictive Maintenance erzählen und wie Sie damit Maschinenausfälle erkennen können, bevor sie auftreten. Erfahren Sie, wie die KI-gestützte Lösung vorhandene Datenquellen nutzt, um Anomalien frühzeitig zu erkennen und Ausfälle vorherzusagen. So können Sie ungeplante Ausfallzeiten reduzieren, auf Echtzeitdaten zu Ihren Anlagen zugreifen, Kosten senken und Ihre Produktion zukunftssicher machen.

Machen Sie mit uns den Schritt in Richtung intelligente Produktion und erfahren Sie, wie Sie Ihre Daten nutzen können, um Ihre Effizienz zu steigern.

The Spare Parts Puzzle: Insights with Richard Jeffers

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 10 Dec 2025 11:30:05 +0000

In this episode you will learn about:

The Hidden Cost of Poor Spare Parts Management: Discover how inadequately managed spare parts lead to significant capital tie-up, increased downtime, and often overlooked financial burdens in industrial settings.
Why Spare Parts Are an Underserved Area: Understand the historical reasons behind the neglect of spare parts, from complex naming conventions and lack of transparency to accounting treatments that obscure their true impact.
The Transformative Power of AI and LLMs: Learn how emerging technologies like Large Language Models (LLMs) can revolutionize spare parts management by accelerating RCM studies, standardizing inventory data, and enabling more strategic stocking decisions.
Integrating Spare Parts into Your Digital Strategy: Explore how effective spare parts management is a crucial, yet often underestimated, component of a comprehensive digital transformation and predictive maintenance strategy.
Gaining Executive Buy-in for Optimization: Get insights into how to justify investment in spare parts management by demonstrating clear return on investment through reduced working capital, minimized downtime, and enhanced operational efficiency.

Growth Potential Beyond Maintenance with Ntau Setoaba

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 03 Dec 2025 10:40:00 +0000

From the Field: What Customers Really Want in Predictive Maintenance - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 26 Nov 2025 10:37:29 +0000

This episode covers:

Cut Through the Noise: Discover the true, underlying challenges customers face in maintaining their assets, moving beyond buzzwords to focus on what genuinely impacts production and downtime.
Experience Rapid Intelligence: Learn how Senseye's software can "learn" an asset's normal operation in just 2-5 days, providing insights that might seem too good to be true, and how customer feedback directly shapes its evolution.
Debunk Predictive Maintenance Myths: Understand that predictive maintenance isn't about eliminating all failures or replacing human expertise, but about optimizing maintenance timing and acting as a powerful decision-support tool.
Witness Industry 4.0 in Action: Hear how digital transformation is delivering real, measurable success for companies across various sectors, making advanced asset monitoring more accessible and impactful than ever before.
Strategize for Maximum Impact: Gain insight into how identifying critical pain points and understanding the ripple effects of asset failure are key to selecting the right machines for monitoring, ensuring significant return on investment.

The Role of a Predictive Maintenance Champion with Todd Martin

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 20 Nov 2025 13:21:16 +0000

In this episode, you will learn about:

Defining the Role: You'll discover that a predictive maintenance champion is a key individual responsible for integrating new technologies like Senseye, ensuring its full utilization, keeping colleagues engaged, and effectively communicating its value across all levels of the organization.
Why a Champion is Essential: Learn why having a dedicated champion is critical for the success of predictive maintenance initiatives, preventing them from being sidelined by other priorities and ensuring the technology's potential is fully realized.
Overcoming Challenges: Understand the common hurdles champions face, such as resistance from experienced staff to new technologies and the administrative tasks involved. You'll hear how demonstrating tangible results is key to building trust and gaining acceptance.
Measuring Impact: Explore how the success of a predictive maintenance program and the champion's contribution are measured, primarily through avoided downtime and documented cost savings, which ultimately makes maintenance teams' jobs easier.
Becoming and Supporting a Champion: Get advice on how to become a champion by demonstrating technical aptitude and proactivity, and learn what leadership needs to do to empower and support these champions to ensure the long-term success of predictive maintenance efforts.

Common Challenges in CMMS-Predictive Integration - with Corey Dickens

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 12 Nov 2025 10:21:00 +0000

From Vision to Reality: The Senseye Product Evolution - with Adam Poole

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 05 Nov 2025 10:00:00 +0000

Driving Success with Scalable IoT: Insights from El-Watch & Senseye Predictive Maintenance

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 28 Oct 2025 11:15:30 +0000

In this episode, you will:

Discover real-world examples of how a modest investment in industrial IoT sensors can prevent hundreds of thousands of euros in unforeseen repair costs and scale asset monitoring exponentially.
Learn the practical strategies for deploying predictive maintenance across diverse factory environments, including navigating outdated corporate guidelines and integrating with legacy systems.
Understand the seamless journey of data from robust wireless sensors to intelligent, AI-driven insights that predict equipment failures and suggest precise next steps.
Find out how advanced predictive maintenance technology is becoming accessible to businesses of all sizes, driving value and efficiency beyond just cost savings.
Get an inside look at the unique synergy between Siemens, EL-Watch's cutting-edge sensor technology, and Senseye's AI platform, and how this collaboration is shaping the future of industrial reliability.

Solving Automotive’s Biggest Challenges Through Predictive Maintenance- with Mikhail Shaferman

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 22 Oct 2025 11:00:00 +0000

Skills Shortage or Usability Crisis? Future-Proofing the Manufacturing Workforce - with Nick Leeder

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 15 Oct 2025 09:00:00 +0000

The Power of Prediction: How Siemens Helps Automotive Companies Stay Ahead - with Anton Siering

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 08 Oct 2025 09:00:00 +0000

What 30+ Years in Maintenance Taught Me About People and Machines - with Tim Hunt

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 01 Oct 2025 08:30:00 +0000

What's the difference between AI and Machine Learning? - With James Loach

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 24 Sep 2025 08:20:33 +0000

Maximizing drivetrain equipment with predictive maintenance

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 17 Sep 2025 08:39:12 +0000

Built on Data: How to Prepare Your Operations for Predictive Maintenance - with Peter O'Hara

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 10 Sep 2025 09:03:32 +0000

In this episode of Trend Detection, we explore why data is the single most important factor in the success of any predictive maintenance (PdM) strategy.

You'll learn which types of data matter most, how to overcome common challenges like silos and poor quality, and why you don’t need perfect data to get started. Whether you're just beginning your PdM journey or looking to scale, this episode will help you build a strong, data-driven foundation for long-term reliability and ROI.

AIot Time - with Peter Schopf

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 05 Sep 2025 17:32:09 +0000

This episode discusses:

Evolving Conversations: Discover why "IoT Time" is expanding its focus to embrace the cutting edge of AI and Generative AI, and how the arrival of GPT-5 is reshaping the landscape of technological discussion.
Beyond the Hype: Uncover the critical difference between true AI agents capable of complex problem-solving and the marketing buzz that often mislabels technology.
The Power of GPT-5: Learn how the widespread accessibility of GPT-5 is poised to revolutionize strategic planning and problem-solving, making advanced reasoning available to a much broader audience.
Smart AI Adoption: Get practical insights into a successful, phased approach for integrating AI into your organization, and find out why jumping straight to complex "agentic" projects might be a costly mistake.
The Cost of Inaction: Hear a powerful call to action on why embracing AI now is non-negotiable, and how to navigate common internal hurdles like data security fears and managerial skepticism.

Connect with Peter: https://www.linkedin.com/in/peter-schopf/

Hands-On with AI: Bringing Senseye to the Classroom- A Panel Discussion

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 04 Sep 2025 09:01:26 +0000

We are joined by Dr Aris Alexoulis from Manchester Metropolitan University and Jordan Walters and Steve Jones from Siemens to discuss:

How Siemens’ Connected Curriculum equips students with real-world Industry 4.0 skills by integrating Senseye Predictive Maintenance into university teaching.
The structure of the three-week pilot at MMU: from ingesting data to configuring anomalies, trends, and thresholds, giving students hands-on PdM experience.
The role of Senseye Copilot in supporting learning—using natural language to explain alerts, provide context, and extend teaching beyond the classroom.
The impact on students’ employability and career pathways, with predictive maintenance skills shaping projects and future opportunities.
How academic feedback drives product improvements—such as simplifying derived measures—and helps refine training for both students and industry users.
Next steps for the program: embedding the module at MMU, scaling to other universities, and building a distributed network of Festo labs for collaborative PdM monitoring.

Visualization – Turning Data into Decisions - with Vahid Baharvand

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 28 Aug 2025 10:10:27 +0000

In this episode of Trend Detection, we sit down with Vahid Vahid Baharvand to explore how visualization tools are helping small and medium-sized enterprises (SMEs) turn complex data into clear, actionable insights.

From real-time dashboards to predictive service assistance, we discuss how visualization streamlines operations, supports smarter decision-making, and drives measurable impact.

Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 20 Aug 2025 14:04:18 +0000

• Why predictive maintenance is crucial in heavy industry environments, and how it differs from traditional maintenance approaches - from preventing catastrophic failures to optimizing machine performance

• The real value of existing data in heavy industrial settings, and why organizations often underestimate what they already have while overestimating what they need

• How predictive maintenance directly impacts workplace safety in heavy industry, with real examples of how monitoring and early detection can prevent dangerous situations

• The rapid return on investment (ROI) potential in heavy industry applications, including examples of companies achieving ROI within weeks and saving millions through single preventive actions

• The role of AI and copilot technology in democratizing maintenance knowledge, breaking down language barriers, and preserving crucial expert knowledge as experienced workers retire.

Spicing Up Innovation: Predictive Maintenance at Kotanyi

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 12 Aug 2025 09:32:46 +0000

This covers:

Why long-standing manufacturers like Kotányi are embracing digital transformation—and what it takes to turn tradition into innovation with predictive maintenance.
How starting with a single bottleneck machine helped Kotányi reduce downtime, prove value fast, and lay the foundation for future AI-driven improvements.
Why success isn’t just about installing new tech—but about aligning with business goals, involving shopfloor teams, and making insights actionable.
The critical importance of choosing the right partner—offering end-to-end solutions, domain expertise, and a collaborative approach that fits existing operations.
Lessons learned from the frontlines: Avoiding change management pitfalls, breaking down silos, and scaling predictive maintenance with strategy, simplicity, and speed.

Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 06 Aug 2025 15:14:52 +0000

In this episode, you will learn:

• Why combining both on-premise and cloud solutions creates more value than choosing just one approach

• How on-premise systems excel at mission-critical control and high-speed analytics while cloud enables scalability and long-term analysis

• The key security considerations when transitioning from operational technology (OT) to information technology (IT)

• Real-world examples of hybrid approaches in predictive maintenance, including vibration monitoring and process data analysis

• Why future-proofing your operations requires flexibility between on-premise and cloud solutions rather than a rigid single approach

AI Without the Hype: A Practical Guide for Mid-Size Manufacturers - with Nick Leeder

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 30 Jul 2025 07:39:06 +0000

Why it’s time to move beyond the AI buzzwords—and how to focus on solving real industrial problems with technology that delivers value.
How starting small with predictive maintenance or AI projects can build trust, prove ROI, and create momentum for wider adoption.
Why simplicity and usability matter more than complex data science—and how making insights accessible drives real operational impact.
The essential role of high-quality, contextualized data in the success (or failure) of any AI-driven initiative.
How to avoid common pitfalls by linking AI projects to business KPIs, building scalable plans, and being honest about what’s working and what’s not.
Real-world advice for industrial leaders on scaling AI and predictive maintenance across global operations—without getting lost in the innovation theatre.

New Zealand Steel Success Case Deep Dive - with Stewart McVinnie

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 28 Jul 2025 06:52:39 +0000

In this episode:

Learn how New Zealand Steel, as the country's only steel maker, implemented predictive maintenance technology to enhance their unique iron sand-to-steel manufacturing process
Discover how a strategic pilot program and robust data foundation helped build trust and drive successful adoption of predictive maintenance across the organization
Understand how early detection of equipment issues, like loose gearbox mounting bolts, helped avoid 12 hours of critical downtime and potential catastrophic failures
Explore how automation and standardization of configurations helped scale the implementation from 300 to a target of 3,000-5,000 assets while maintaining quality
Learn about the multiple benefits beyond just downtime prevention, including quality improvements, yield optimization, and how proper data governance enables future digital transformation initiatives.

How predictive maintenance can enable digital transformation - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 23 Jul 2025 07:15:58 +0000

Why Predictive Maintenance is the Gateway to Digital Transformation Discover how starting with predictive maintenance (PdM) helps organizations shift from reactive to proactive operations—building trust across departments and unlocking long-term digital value.
How PdM Breaks Down Silos Across Teams and Technologies Learn how implementing PdM brings IT and OT together, fosters collaboration between operations, maintenance, and finance, and uncovers valuable insights from both new and existing data.
Real-World Success Stories from Automotive and F&B Industries Hear examples of PdM in action—from saving over £200k at a stamping press to digitizing workflows and creating digital twins in global food and beverage plants.
Scaling PdM Without Overhauling Everything Get practical advice on starting small, using existing infrastructure and sensor data, and building scalable, future-proof PdM strategies that don’t require massive upfront investment.
Debunking Common Misconceptions About PdM Understand why digital transformation doesn’t need to be fully complete before starting PdM—and how this approach actually accelerates integration, ROI, and long-term growth.

Connectivity – Bridging the OT-IT Gap for SMEs with Dominik Brenner

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 17 Jul 2025 12:47:19 +0000

Here is what you will learn from this episode:

Understanding the foundation of digital transformation through connectivity
How to integrate machines of different ages and manufacturers into one system
Practical insights on reducing operational costs and improving efficiency
Real-world examples of predictive maintenance and data analytics
Flexible deployment options, from on-premise to cloud solutions
Security measures protecting your valuable industrial data

The Truth About Predictive Maintenance: Copilot special - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 14 Jul 2025 11:00:12 +0000

How everyday frustrations—like buying insurance—mirror the complexity faced in industrial environments, and why even small simplifications can have a big impact.
What copilots actually are, and how they help guide users through complex processes using natural, conversational language.
Why tools like Adobe Copilot are game-changers, and how their capabilities are being mirrored in industrial copilots like Senseye’s.
How interacting with AI doesn’t require perfect prompts—copilots are built to iterate with you and improve results over time.
How engineers and operators can use copilots to access insights from data instantly—without building dashboards or learning query languages.

More Than Support: Customer Success as a Strategic PdM Ally - with Tim Hunt

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 10 Jul 2025 09:00:00 +0000

What you’ll learn in this episode:

Why customer success is more than just support—it's about enabling long-term predictive maintenance success.
How Tim’s maintenance background gives him instant credibility and practical impact with customers.
The role of early wins and internal champions in scaling predictive maintenance across sites.
How Senseye Copilot captures tribal knowledge and supports a retiring workforce.
Common pitfalls in PdM adoption—and how to avoid them through culture, communication, and collaboration.

Agentic AI and the Future of Predictive Maintenance - with James Loach

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 08 Jul 2025 13:30:02 +0000

What Agentic AI Really Means: Discover how Agentic AI differs from traditional and generative AI, and why it's best understood as a digital colleague that can take action, not just provide answers.
The Role of Agentic AI in Predictive Maintenance: Learn how technologies like Agentic AI can enhance Senseye’s capabilities—making predictive maintenance systems smarter, more autonomous, and more helpful for maintenance teams.
Real-World Maintenance Use Cases: Hear practical examples of how AI agents can support maintenance tasks—from spotting problems and synthesizing information, to optimizing strategies and even configuring systems.
The Future of AI Agents Working Together: Get a glimpse into what’s ahead as AI agents from different systems begin to interact, share data, and collaborate across industrial environments.
Trust, Teamwork, and the Human Factor: Understand how AI in maintenance isn't about replacing jobs, but augmenting human expertise—helping teams work more efficiently while still relying on their critical on-the-ground knowledge.

Senseye: ¿Cómo la inteligencia artificial está revolucionando el mantenimiento predictivo con Edgar

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 03 Jul 2025 13:49:24 +0000

Too Much Data, Not Enough Action - The Industrial AI Dilemma - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 02 Jul 2025 12:27:02 +0000

This episode covers:

Why having too much data could be holding your business back—and how to break free from the “paralysis in analysis” trap.
What makes predictive maintenance efforts stall, even when you have all the right tech—and how to get things moving again.
How AI and machine learning can help you finally turn data into action, not just dashboards.
The real reason so many sites repeat the same mistakes—and how you can shortcut that learning curve across your entire enterprise.
Why the biggest challenge with adopting new tech isn’t the tech at all—it’s knowing who to trust and where to start.

Driving Efficiency for SMEs- with Marco Saviano

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 26 Jun 2025 12:18:13 +0000

This episode covers:

Why digital transformation is a cultural shift, not just a tech upgrade—and why that matters especially for SMEs.
How SMEs can overcome resource and expertise challenges by working with the right partners.
What predictive maintenance looks like for smaller manufacturers—and why it’s more accessible than ever.
The crucial role of cross-functional collaboration, especially involving IT, to avoid project failure.
How using data wisely goes beyond reducing downtime and can drive broader efficiency, sustainability, and business resilience.

Beyond 1% creating a sustainable future for Australia through Digitalization - with Keith Ritchie

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 24 Jun 2025 14:00:30 +0000

This episode covers:

Why “Beyond 1%” matters: Discover how Australia, responsible for just 1% of global emissions, can punch above its weight in sustainability by applying its Olympic-winning mindset to digital and decarbonization efforts.
The mindset shift required for true sustainability: Learn why education, clarity on terms like “net zero,” and cross-ideological motivation are critical to driving collective climate action.
How digitalization accelerates decarbonization: Explore real-world examples—from digital substations to laser-cleaning glass molds—that show how smart tech avoids unintended consequences and boosts efficiency.
The critical role of SMEs and collaboration: Understand how democratizing access to advanced technology enables small and medium enterprises to innovate and contribute globally to carbon reduction.
How sustainability and economic success go hand in hand: Hear why reducing waste, improving efficiency, and embracing lifecycle thinking is not just good for the planet—it’s good business too.

Scaling Success: The Culture Shift Required For Predictive Maintenance and Digital Transformation

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 19 Jun 2025 09:42:13 +0000

Unlocking SME Integration- with Konstantin Kobel

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 17 Jun 2025 14:37:18 +0000

This episode covers:

Why integration is essential for SME competitiveness
Real-world ROI: saving 9 man-days per warranty claim
Common challenges and how to overcome them
Integration’s surprising impact on cybersecurity
How to scale with confidence and stay future-ready with AI and predictive maintenance tool

Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 13 Jun 2025 09:00:07 +0000

In part one of this episode, you will learn about:

How Senseye works with your existing setup Discover why Senseye is vendor-agnostic, how it integrates with any PLC or database (even email-based CSVs!), and how it builds on your existing infrastructure—no rip-and-replace required.

The power of AI + human expertise Explore how AI doesn’t replace people—it augments them. Senseye automates routine monitoring so engineers can focus on solving the truly complex problems, with results easily shared from shop floor to boardroom.

Capturing tribal knowledge at scale Find out how Senseye uses large language models to capture, preserve, and share expertise from veteran engineers—ensuring valuable maintenance knowledge isn’t lost as teams evolve or retire.

Scaling predictive maintenance globally Hear how real customers like BlueScope Steel are monitoring over 15,000 machines in real-time—proving Senseye can deliver massive scale, fast ROI, and measurable business outcomes.

Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 11 Jun 2025 14:43:33 +0000

In part one of this episode, you will learn about:

How AI is transforming predictive maintenance: Learn how AI-driven solutions like Senseye make predictive maintenance scalable—from thousands of machines at enterprise level down to individual components—without the need for complex modeling or manual data input.
Making PdM accessible for all business sizes: Discover how small to mid-sized enterprises (like those in New Zealand) can start with as few as 50 machines and still achieve strong ROI within 3–6 months.
From data to decisions—without new sensors: Understand how existing automation data (like current, torque, or timing from PLCs) can be used for condition monitoring, often without needing to install new instrumentation.
Preserving institutional knowledge with AI: Hear how the system ingests everything from manuals to repair photos and videos, helping capture and share expert knowledge across sites to support the next generation of maintainers.
A practical, people-first approach to AI: Explore how Senseye’s philosophy prioritizes augmenting human roles, integrating with current systems, and delivering real-world value—not replacing people, but empowering them with better tools.

Unlock the Power of Data- Digital Strategies to Accelerate Manufacturing Growth with Brightly

siemensfm.communications@siemens.com (Siemens.FM team) — Sun, 08 Jun 2025 19:29:29 +0000

What Can We Do Differently to Scale Predictive Maintenance? - with Nick Leeder

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 04 Jun 2025 10:29:03 +0000

Key Lessons from PdM Success in Food & Beverage - a panel discussion

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 28 May 2025 12:20:16 +0000

What you’ll learn in this episode: Join us as we explore how predictive maintenance (PdM) is transforming the food and beverage industry—with a special focus on the Middle East.

Why PdM is becoming essential for F&B manufacturers to stay competitive, improve uptime, reduce waste, and drive sustainability.
How the Middle East’s unique challenges—like water scarcity, reliance on global OEMs, and workforce turnover—make PdM a strategic necessity.
What a successful PdM rollout looks like, including a five-step methodology (Scope, Design, Deploy, Operate, Refine) that guides you from problem definition to scale.
Real-world stories of ROI, including how a global pet nutrition brand and a European dairy achieved fast, measurable wins with Senseye PdM.
What sets Senseye and Siemens apart, from AI-powered insights and multilingual support to full-stack, sensor-to-cloud solutions backed by local experts.

How to start a predictive maintenance project- with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 22 May 2025 15:42:57 +0000

What you’ll learn in this episode of Trend Detection:

Why starting with the business problem—not the tech—is crucial for predictive maintenance success
The key differences between predictive maintenance and condition monitoring—and why it matters
How to build a scalable PdM roadmap by starting small, proving value, and selecting the right assets
Common misconceptions and roadblocks that can derail projects before they begin—and how to avoid them
Why cross-functional collaboration and on-site insight make all the difference when launching a PdM initiative

Scaling Smarter: How BlueScope Steel Took Senseye Predictive Maintenance Global

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 21 May 2025 08:20:38 +0000

In this episode you will learn about:

Global Rollout Strategy: BlueScope Steel shares how they scaled predictive maintenance across multiple international sites using Senseye, starting with a successful pilot in Australia and expanding to New Zealand, Thailand, and the US.
Strong Executive Backing: From day one, the predictive maintenance initiative was backed by full executive support, with the goal of driving asset intelligence and reducing unscheduled delays across all manufacturing plants.
Hands-on Leadership & Local Empowerment: Chris Wonson highlights the importance of staying hands-on and embedding predictive maintenance into local teams through tailored training initiatives like “Senseye School.”
Overcoming Data & Cultural Challenges: The team discusses how they tackled inconsistent data, different infrastructures, and varying plant cultures through collaboration, standardization, and iterative learning.
Measurable Business Impact: Predictive maintenance has delivered clear benefits, including increased equipment uptime, reduced maintenance costs, and improved plant understanding—proving the value of the initiative and fueling momentum for global expansion.

The CMMS Playbook: Lessons from 25+ Years in Maintenance Tech - with Greg Christensen

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 15 May 2025 15:47:38 +0000

This episode discusses:

Industry Expert Insights: Greg, host of CMMS Radio, shares his 25+ years of experience in maintenance management, CMMS, and business development, offering valuable perspectives on industry evolution.
The Role of CMMS in a Digital Age: Discussion on the continued relevance of CMMS amidst AI advancements, the importance of foundational maintenance practices, and the risks of over-reliance on technology without strong processes.
Implementation Challenges & Best Practices: Key mistakes organizations make when deploying CMMS, including lack of buy-in, poor vendor selection, and failure to maintain engagement post-implementation.
Future Trends in Maintenance Tech: Predictions on AI-driven CMMS improvements, the potential for voice-enabled CMMS interaction, and a renewed focus on simplifying maintenance operations for efficiency.
Real Talk on Vendor & Client Relationships: Greg emphasizes the need for vendors to be honest about their capabilities, the importance of asking tough questions before selecting a solution, and how strong partnerships drive real business outcomes.

CMMS Radio: CMMSradio

Follow Greg on LinkedIn: https://www.linkedin.com/in/greg-c-7b97648/

IoT Time - with Peter Schopf

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 14 May 2025 08:27:38 +0000

This episode discusses:

🎙️ Understanding AI Agents vs Assistants: Peter and Niall break down the often-confused terminology around AI – from assistants and copilots to true agents – using a four-quadrant model based on automation and system integration.

🧠 AI Intelligence & Modularity: The episode explores the concept of intelligence in AI, comparing large language models to parts of the human brain, and discussing the future of AI as modular, with specialized models for reasoning, simulation, and memory.

🔄 Strategic vs Operational AI Use: Peter highlights the untapped potential of using AI for strategic applications like organizational planning and cultural transformation, in contrast to the more common operational use cases like summarizing emails or generating reports.

📈 Driving Adoption Through Assistants: Practical advice is given on starting with AI assistants before jumping to complex agents. Peter shares a successful use case at E.ON where prompt-based assistants significantly improved employee engagement and productivity.

👥 Training & Culture Are Key: Emphasis is placed on meaningful AI training (especially for managers), fostering a feedback culture, and viewing AI more like a working student than a calculator – adaptable, contextual, and collaborative.

Setting your organization up for predictive maintenance success - with ISPE and Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 08 May 2025 14:08:04 +0000

This session was originally recorded for ISPE and their Technical Tuesday session.

Watch the video here: Technical Tuesday: Boosting Pharmaceutical Efficiency Through Scalable Predictive Maintenance

Find out more information here: Homepage | ISPE | International Society for Pharmaceutical Engineering

Beyond 1% - Industrial AI for a better future? - a panel discussion

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 07 May 2025 09:45:09 +0000

In this episode, we discuss:

Summary:

How AI is transforming industries beyond hype: Discover real-world examples of AI’s impact in industrial settings—from predictive maintenance at enterprise scale to visual AI for infrastructure monitoring.
The link between AI and sustainability: Learn how AI isn’t just a tool for efficiency, but a key enabler of sustainability, driving carbon and cost savings by extending asset life, reducing waste, and avoiding unnecessary inspections.
The “Beyond 1%” philosophy: Explore how Australia can play a far greater global role in decarbonisation by leveraging digitalisation and AI—not just focusing on its own emissions footprint.
AI’s double-edged environmental impact: Understand both the environmental costs of scaling AI (like energy use in data centers) and the innovations that are helping to mitigate them through responsible infrastructure and smarter operations.
Why data and vision matter: See how tapping into underutilized assets like camera networks and drones enables smarter, scalable monitoring—helping companies extract insights without adding hardware complexity.

Predictive maintenance: It's a way of life not a technology - with Richard Jeffers

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 01 May 2025 11:59:20 +0000

In this episode, we discuss:

From Breweries to Maintenance Strategy: Richard Jeffers shares his fascinating career journey from running and maintaining breweries to leading technical and solutions teams—highlighting how military leadership shaped his approach to asset management.
Why Maintenance Needs a Seat at the Strategy Table: Richard explains why maintenance professionals must understand their company's commercial strategy to align maintenance decisions with business goals and manage risk effectively.
Technology is Cheaper—But Strategy Still Wins: While predictive maintenance and IoT tools are more accessible than ever, Richard stresses that the fundamentals of a good maintenance strategy haven’t changed. Technology is a tool, not a strategy.
Balanced Maintenance, Not Buzzwords: He emphasizes that a successful approach blends multiple techniques—including run-to-fail and predictive methods—based on business context and asset criticality.
Leadership Drives Culture Change: A clear maintenance vision, strong leadership, and cross-functional collaboration are critical to embedding effective maintenance strategies and embracing new technologies across an organization.

The Cultural Shift: Embracing Predictive Maintenance - with Brad Parsons

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 30 Apr 2025 07:38:42 +0000

In this episode, we discuss:

The Cultural Key to Predictive Maintenance: Brad Parsons, CEO of Rely Ability, joins the podcast to explore why cultural readiness—not just technology—is crucial for successful predictive maintenance adoption.
Understanding Organizational Culture: Brad breaks down four dominant workplace cultures—collaborate, control, compete, and create—and explains how each affects technology adoption and transformation.
Leadership & Metrics Matter: Leadership alignment and shared performance metrics between teams (like maintenance and production) are essential to eliminate conflict and drive collaboration around new initiatives.
Capturing and Sharing Successes: Real-world examples, like averting catastrophic equipment failures, demonstrate how sharing early wins internally can help build momentum and drive broader cultural adoption.
Beyond the Buzzword – What PdM Really Means: Predictive maintenance is more than tech—it’s a systems-level change requiring data trust, behavior shifts, and readiness to act on insights across the business.

Shaping the Future of Smart Factories - with Antonio Vieira Santos

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 25 Apr 2025 13:00:59 +0000

In this episode, we discuss Shaping the Future of Smart Factories.

Unlocking the Power of CMMS and Predictive Maintenance with Brightly

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 22 Apr 2025 15:59:35 +0000

In this episode, we discuss Unlocking the Power of CMMS and Predictive Maintenance with Brightly/

Predictive Maintenance in the Semiconductor Industry- with Semi.org

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 18 Apr 2025 08:15:38 +0000

In this episode, we are joined by Tim Hunt and Todd Martin to discuss PdM in the Semiconductor Industry- with Semi.org.

Knowledge Builder and Generative AI - with Dan Reid

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 17 Apr 2025 07:56:27 +0000

In this episode, we are joined by Dan Reid to discuss the features and benefits of Knowledge Builer in Senseye Predictive Maintenance.

Driving Success in Automotive: A Global Manufacturer Story with Peter O'Hara and Jan Trnovec

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 10 Apr 2025 10:32:13 +0000

Usability in the Driver’s Seat: Simplifying Drive Data

siemensfm.communications@siemens.com (Siemens.FM team) — Sun, 06 Apr 2025 16:07:52 +0000

Jumpstart Your Digitalization Journey: Empowering Operations with Siemens Expert Services with Dave

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 02 Apr 2025 15:57:58 +0000

This episode covers:

Participants from Siemens share insights on their roles in marketing and services, emphasizing the significance of digitalization. They discuss motion control and transformation project responsibilities, highlighting the positive impact of digital transformation on customers.

The conversation addresses common challenges and outlines Siemens' solutions, including consultancy and technology deployment. A success story from the aggregates industry showcases the benefits of connectivity and analytics, reinforcing the importance of starting the digitalization journey with Siemens as a trusted partner.

Unlocking Real Value in Digital Manufacturing - with Nick Leeder

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 02 Apr 2025 08:57:31 +0000

This episode discusses:

Cutting Through the Hype: Discover how manufacturers can move from buzzwords to real business benefits with digital transformation.
Avoiding Pilot Purgatory: Learn why so many Industry 4.0 initiatives stall—and what it takes to scale successfully.
The Power of Smart Industry Readiness: Explore the SIRI framework and how it helps manufacturers benchmark and prioritize their digital strategies.
AI in Manufacturing – What’s Real vs. Hype? From predictive maintenance to supply chain optimization, find out where AI is making a real impact.
Lessons from the Frontlines: Nick Leader shares insights from decades of experience, helping companies bridge the gap between technology potential and operational reality.
SIRI (NL&Co): https://nickleeder.com/igniteit-smart-industry-readiness-index/
SIRI Official Pages: https://incit.org/en/what-we-do/siri/
Buzzwords to Benefits Landing Page: https://info.nickleeder.com/b2b
Buzzword dictionary: https://nickleeder.com/beyond-the-buzzwords/buzzword-dictionary/

Redefining Maintenance: Why Predictive Solutions Outperforms Traditional Monitoring Systems

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 28 Mar 2025 11:32:51 +0000

From Data to Decisions: How Sensors Drive Predictive Maintenance Success with Chris Garrison

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 27 Mar 2025 11:30:05 +0000

Preparing Students for the Future of PdM and Industrial AI - with Steve Jones

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 24 Mar 2025 08:55:27 +0000

This episode discusses:

Real-World Collaboration in Action: In this episode, we learn how the Connected Curriculum initiative bridges the gap between academia and industry, giving students hands-on exposure to cutting-edge industrial technologies.
Empowering Educators and Learners: The discussion shows the value of the “train the trainer” model, where academic staff are equipped with tools like Senseye to then deliver live, interactive learning experiences to students.
Innovative Approaches to Data Use: A key takeaway is how the initiative overcomes challenges in accessing sensitive industrial data—starting with synthetic data and moving to real data in controlled environments.
Building a Future Talent Pipeline: We discover how competitions and skills summits, such as the upcoming event on July 3, 2025, help connect students with industry partners, creating a strong pathway for future careers.
The Power of Partnership: The episode highlights the positive impact of collaborative efforts, emphasizing that a successful blend of academic insight and industrial expertise leads to enriched learning experiences and better-prepared graduates.

Quote: We started Connected Curriculum as a way of supporting academia to help it understand these challenges, and to help it basically produce learners who were better prepared to hit the ground running in industry”

Assess & Prepare – Building the Foundation for SMEs with Anton Sierling

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 18 Mar 2025 17:50:13 +0000

For SMEs, digital transformation begins with understanding their current operations. This episode discusses how Siemens’ tools like Predictive Service Analyzer help small and medium businesses identify inefficiencies and unlock potential for growth without requiring extensive resources.

Navigating Digital Transformation: Challenges, Opportunities, and the Road Ahead for Manufacturers

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 13 Mar 2025 09:30:16 +0000

This episode covers:

Digital Transformation in Manufacturing – Brian Holliday, Managing Director of Siemens Digital Industries UK, shares insights on how digital technologies are reshaping manufacturing, from SMEs to large enterprises.
Challenges Facing Manufacturers – Discussing key industry challenges in 2025, including skills shortages, under-adoption of technology, supply chain resilience, and sustainability.
The Role of AI and Predictive Maintenance – Exploring how AI, including GenAI and predictive maintenance solutions like Senseye, is driving efficiency, reducing downtime, and making industrial data more accessible.
The Power of Collaboration – The impact of initiatives like Made Smarter and the role of partnerships between government, industry, and academia in accelerating digital adoption.
The Future of Industry: The Industrial Metaverse – A look at how digital twins and the industrial metaverse will revolutionize manufacturing, enabling real-time collaboration, simulation, and data-driven decision-making.

Quote of the episode: I think the analysts now are all predicting that the the greatest use of that environment will be in industry. It is the ultimate use of data at scale to to help companies and countries make better decisions.

Breaking Down Predictive Maintenance for Non-Experts - With Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 11 Mar 2025 15:41:28 +0000

This episode discusses:

What Predictive Maintenance Really Is – A clear, non-technical breakdown of predictive maintenance, why it matters, and how it helps businesses reduce downtime and costs.
Why You Likely Already Have the Data You Need – Many companies assume they need expensive sensors, but most already have valuable data—they just need to centralize and use it effectively.
How to Achieve Quick Wins & ROI – Learn why predictive maintenance isn’t as costly or complex as it seems, and how companies are seeing returns in months, not years.
The Role of Culture & Strategy – Technology alone isn’t enough. Discover why having the right mindset, business alignment, and workflows is key to success.
How AI & Copilots Are Changing the Game – Understand how AI-powered copilots are bridging the skills gap, helping teams make smarter decisions, and making predictive maintenance more accessible than ever.

Podcast quote:"Return on investment comes much quicker than people think. A misconception is how expensive it can be to implement. And it's not."

Quantifying ROI and Business Value For Predictive Maintenance - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 06 Mar 2025 15:31:52 +0000

This episode discusses:

Predictive Maintenance & ROI: The episode discusses the transition from reactive to predictive maintenance and how establishing clear return on investment (ROI) metrics is key to justifying and optimizing maintenance strategies.
Key Performance Indicators (KPIs): It outlines essential KPIs—including unplanned downtime, maintenance-related downtime, asset life extension, efficiency gains, and knowledge retention—that together define success.
Building Trust & Collaboration: Emphasis is placed on the importance of engaging in honest, detailed conversations with customers to build trust and align expectations, ensuring that predictive maintenance projects deliver real value.
Data-Driven Decision Making & AI Adoption: The conversation highlights how leveraging data and generative AI can provide deep insights into asset performance, enabling more intelligent maintenance practices and faster diagnosis.
Continuous Learning & Knowledge Sharing: The episode underscores the value of capturing, sharing, and using knowledge—both successes and setbacks—to continuously improve maintenance processes and reduce overall downtime.

Quote of the episode: “Return on investment KPIs are like layers in a ladder—you can’t jump straight to one without establishing a baseline. They’re all interwoven and necessary to build a complete picture of success.”

How Predictive Maintenance is Transforming the Automotive Industry with Peter O’Hara

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 05 Mar 2025 08:42:19 +0000

In this episode, we explore how predictive maintenance is reshaping the automotive industry, focusing on its adoption, implementation, and measurable successes. We’ll uncover how attitudes toward predictive maintenance software have evolved and share success stories of businesses that embraced it. From understanding the cultural shifts required to quantifying the ROI of predictive maintenance, this episode is packed with insights that automotive industry professionals won’t want to miss.

Utilizando IA para optimizaciónes en producción/mantemimiento

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 27 Feb 2025 18:40:20 +0000

Bienvenido al podcast Trend Detection, presentado por Senseye Predictive Maintenance, la plataforma que permite implementar el mantenimiento predictivo a gran escala en todos tus activos y en todas tus plantas.

Súmate a este podcast -en español- donde te contaremos de qué va la inteligencia artificial, qué valor agregado tiene #Senseye y cómo en Siemens podemos ser tu aliado en tu estrategia de mantenimiento predictivo industrial.

¿Sabes cuál es el rol de la inteligencia artificial en la optimización del mantenimiento en los entornos industriales?
¿Conoces qué se necesita para que una estrategia de mantenimiento predictivo sea la aliada del desarrollo del negocio?
¿Sabes el valor agregado en producción que aporta Senseye?

Puedes obtener más información sobre cómo Senseye Predictive Maintenance puede reducir el tiempo de inactividad no planificado y contribuir a una mayor sostenibilidad en tus plantas de fabricación visitando:

www.siemens.com/senseye-predictive-maintenance

Why predictive maintenance projects don't scale - with Nick Leeder

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 25 Feb 2025 15:21:37 +0000

In this episode you will learn about:

Scaling Predictive Maintenance: Discover why many predictive maintenance projects fail to scale and how to overcome common barriers.
Expert Insights: Nick Leader shares 30+ years of expertise in manufacturing, helping businesses improve efficiency and competitive advantage.
Big Challenges, Real Solutions: Dive into real-world issues like downtime, legacy systems, and cultural barriers—and learn how to tackle them.
Start Small, Scale Smart: Learn why starting with critical assets is the key to successful predictive maintenance deployment.
Cultural & Financial Alignment: Explore the impact of leadership, collaboration, and real-world ROI on scaling predictive maintenance.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Follow Nick Leeder on LinkedIn:

https://www.linkedin.com/in/redeel/

Collaborating with Clients for Successful PdM Deployments - with Jordan Walters

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 20 Feb 2025 17:07:38 +0000

The Future of AI In Maintenance Engineering | Live Panel Discussion

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 18 Feb 2025 17:39:41 +0000

Join an expert panel as they discuss the future of AI in Engineering in this LinkedIn Live!

Meet the panel:

Jonathan Peedell - Head of Maintenance at ‪@bentleymotors‬

Rob Russell - Head of Predictive Maintenance Strategy & Deliver at ‪@Siemens‬

Richard Jeffers - Solutions & Technical Director at RS UK & Ireland

Agajan Torayev - CEO and Founder at Robominder

Find out more about the latest insights on Maintenance Engineering, in the 2024 Industry Report: https://uk.rs-online.com/web/content/...

Unlocking next-level predictive maintenance - with Shu Ying and Taku Shigihara

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 13 Feb 2025 11:36:32 +0000

Key takeaways:

The role of data analytics in predictive maintenance and how to harness its full potential.
How to leverage human expertise alongside advanced algorithms to achieve a more proactive maintenance approach.
Using GenAI (Generative Artificial Intelligence) to help prevent equipment failures.
Real-world case studies showcasing successful implementations of Senseye Predictive Maintenance.

The Power of Wireless: Transforming Industries with IoT Sensors - with Ingar Fredriksen

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 11 Feb 2025 17:33:33 +0000

This episode discusses:

Introduction to Wireless IoT Sensors and El-Watch
Key Benefits of Wireless Sensors
Trends and Challenges in Industry 4.0 Adoption
Collaboration Between El- Watch and Senseye
Future of Wireless IoT Sensors and Maintenance Technology

Generating maintenance confidence using Gen AI and Predictive Maintenance - with Adam Cartwright

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 06 Feb 2025 13:04:23 +0000

This episode discusses Generating maintenance confidence using Gen AI and Predictive Maintenance - with Adam Cartwright.

Predictive maintenance innovation and TSFM models - with James Loach

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 05 Feb 2025 10:45:23 +0000

This episode discusses: Predictive maintenance innovation and TSFM models - with James Loach

Heavy Equipment Community Talk - with Andreas Fiedler and Bernd Trops (DE)

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 30 Jan 2025 15:30:27 +0000

This episode discusses: Heavy Equipment Community Talk - with Andreas Fiedler and Bernd Trops

The Truth About Predictive Maintenance - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 29 Jan 2025 09:11:21 +0000

This episode covers:

Evolution of Predictive Maintenance (PdM): From a niche concept to a widely adopted solution, transforming industrial maintenance strategies.
AI Integration: Discussion on Senseye's co-pilot using AI and generative language models to simplify maintenance insights through conversational interfaces.
Real-World Applications: Case studies from industries like cardboard manufacturing and BlueScope highlighting reduced downtime and global maintenance planning.
Expanded Benefits: Beyond unplanned downtime, PdM contributes to safety, efficiency, and sustainability, aligning with broader business goals.
Siemens Collaboration: Senseye’s integration into Siemens enhances access to a comprehensive ecosystem of industrial technology and innovation.

Tackling Skilled Labor Shortages with AI - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 23 Jan 2025 15:04:06 +0000

In this episode we:

Exploring AI's Role in Addressing Labor Shortages: Dive into how AI is reshaping industries by tackling the global challenge of labor shortages, with a focus on the Australian context.
Knowledge Sharing & Generative AI in Maintenance: Discover how tools like Senseye leverage AI to capture and share the expertise of seasoned professionals, ensuring continuity for the next generation.
Insights from Richard Ella: Gain valuable perspectives from Siemens Australia's digital transformation consultant on fostering curiosity and innovation in industrial settings.
BlueScope Steel's Digital Transformation Journey: Learn about BlueScope's success in adopting AI and fostering a collaborative culture to drive efficiency across global sites.
Curiosity as a Catalyst for Change: Explore how cultivating curiosity can transform organizational approaches to technology and drive impactful results.

Listen to the Bluescope Steel podcast below:

https://siemens.fm/public/podcasts/e95c2cadcac1ca85a383cc14d7220e76f2ec4a630713105180c33fc475dcb7e0/episodes/081d79535d49b926eb7d949c64c11cd0/details

Bridging the Gap: Digitalizing Aging Equipment with Senseye

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 22 Jan 2025 14:15:55 +0000

Many companies face the challenge of maintaining older equipment while striving to embrace digitalization. Senseye Predictive Maintenance provides a practical pathway to modernizing operations without the need for costly overhauls. Gathering and analyzing data from legacy machinery unlocks the potential for predictive maintenance, reducing downtime and improving operational efficiency.

Beyond equipment, these digital solutions address the challenge of an aging workforce by capturing critical knowledge and ensuring it’s retained for future operations.

Join us to discover how Senseye bridges the old and the new, empowering companies to extend the life of their assets while advancing their digital transformation journey.

Navigating IT/OT Convergence with Farhad Ziaie

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 22 Jan 2025 09:20:54 +0000

This episode highlights the significance of IT and OT convergence in industrial environments. Farhad discusses digital transformation trends and the challenges of IT/OT integration, such as cybersecurity risks and maintenance needs. Siemens presents tailored IT infrastructure solutions and Remote Industrial Operation Services to address these issues. The session underscores the importance of cybersecurity, regulatory compliance, and data protection through robust backup solutions, introducing the IDMZ concept for secure IT and OT interaction.

Building a Culture of Knowledge Sharing - with Rob Russell and Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 09 Jan 2025 13:50:26 +0000

This episode covers:

Importance of Knowledge Sharing in Predictive Maintenance: Explores how sharing and capturing knowledge enhances the success of predictive maintenance by leveraging past learnings for future improvements, including configuration and deployment efficiencies.
Long-term Vision and Incremental Implementation: Discusses the importance of setting clear objectives and a vision for predictive maintenance while adopting an incremental approach to scale deployments across factories and teams.
Value-driven Strategy: Emphasizes starting with a clear understanding of both short-term and long-term value, using realistic milestones to measure success and guide deployment.
Learning from Successes and Challenges: Highlights the need to recognize incremental successes and learn from challenges during the deployment and scaling process, ensuring continuous improvement.
Real-world Example: References a successful application of these principles in a case study, illustrating the tangible benefits of predictive maintenance and knowledge-sharing strategies.

Maintenance Matters: Turning Uptime into Profit - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 08 Jan 2025 08:22:26 +0000

This episode covers:

The Business Impact of Uptime: Why maximizing uptime is essential for driving profitability and staying competitive.
Challenging Maintenance Misconceptions: How maintenance can shift from being seen as a cost center to a strategic advantage.
The Power of Predictive Maintenance: Discover how PdM prevents failures, ensures uptime, and enhances operational performance.
Overcoming Barriers to PdM Adoption: Address common misconceptions about complexity and cost that may be holding your business back.
Leveraging Tools like Senseye: Learn how technology helps establish baselines, detect anomalies, and optimize your maintenance strategies for greater efficiency.

Our 'most listened to' episode of 2024: Readiness for PdM in India with Abhishek Basu

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 26 Dec 2024 10:20:25 +0000

In this session we discuss Readiness for PdM in India with Abhishek Basu.

Listen to part 2 here.

Please subscribe via your selected podcast provider to be notified about future episodes.

Navigating the Industrial IoT Landscape: From a Developer’s Perspective - with Olivier Bloch

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 19 Dec 2024 12:09:55 +0000

This episode covers:

Exploring Industrial IoT from a Developer’s Lens: Our guest, Olivier, shares his extensive background in IoT, discussing the role of developers in advancing Industrial IoT solutions.
Doing IoT Right vs. Wrong: Olivier delves into common pitfalls in IoT projects, particularly the lack of focus on delivering clear business value, which often leads to stalled projects.
Data Pipelines as the Core of IoT Success: Emphasizing data’s role, we examine how effective data management enables predictive maintenance, anomaly detection, and actionable insights, especially in industrial applications.
The Power of Open Source in IoT Innovation: Olivier discusses the significance of open-source contributions in building standardized, robust IoT solutions that foster interoperability across devices and systems.
Collaborative Approaches for Complex IoT Ecosystems: We explore how industry collaboration and standardization are crucial in creating cohesive, secure, and scalable IoT solutions for various industrial sectors.

Connect with Olivier Bloch here https://www.linkedin.com/in/olivierbloch

Readiness for predictive maintenance in The Netherlands - with Nienke Vergeer and Jesper Verschoor

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 17 Dec 2024 09:44:36 +0000

This episode covers:

Regional Readiness and Cultural Mindset: How different attitudes shape predictive maintenance adoption.
Industry Insights: Examining the food & beverage and heavy industry sectors.
Shifting from Reactive to Proactive Maintenance: The journey from traditional maintenance to digital transformation.
Stakeholder Alignment: Importance of buy-in from all levels for successful implementation.
Challenges in Scaling: Unique hurdles faced by small and large companies in implementing predictive maintenance.
The Role of AI: How predictive maintenance and AI can address productivity demands.

Tech, Sustainability & the Future: Insights from Former Gartner Analyst Dr Derek Prior

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 12 Dec 2024 09:16:58 +0000

Leverage Cross-Disciplinary Skills: Combining technical expertise with business insight can drive more strategic decision-making.
Integrate Data for Better Outcomes: Blending engineering and business data is crucial for accurate, actionable insights.
Balance Short & Long-Term Goals: Engineers and IT teams often have different priorities, but aligning their perspectives is key to success.
Adopt Technology with Purpose: Only implement new technology when it clearly supports a defined business goal.

Pharmaceutical and Predictive Maintenance with Chris Smith

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 10 Dec 2024 10:26:52 +0000

Generating Maintenance Confidence Using AI and Predictive Maintenance - with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 05 Dec 2024 10:47:17 +0000

What you’ll learn:

How AI predicts equipment issues before they happen
Strategies to minimize downtime and keep operations running smoothly
How smarter, data-driven insights can build confidence in maintenance practices

IoT Time- with Peter Schopf

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 02 Dec 2024 10:31:36 +0000

What’s inside this episode:

Generative AI’s Role: How AI bridges knowledge gaps, empowers teams, and transforms data management for future success.
Navigating Transformation: Peter shares strategies to help medium-sized companies overcome challenges like internal resistance and resource allocation.
Personalized Journeys & Innovation: Insights into crafting tailored customer experiences, driving process innovation, and building strong partnerships.
Real-World Challenges: A candid look at the hurdles of digital transformation, including the impact of knowledge loss.
Looking Ahead: A sneak peek into future episodes with deeper dives into the remaining “Ps” and inspiring success stories

Boosting Pharmaceutical Efficiency Through Scalable Predictive Maintenance- with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 28 Nov 2024 17:07:34 +0000

Catch up on the virtual live event crafted specifically for the pharmaceutical industry, where we’ll dive into how Senseye Predictive Maintenance is transforming operations by enhancing efficiency, minimizing downtime, and ensuring asset reliability.

Bridging Data and Predictive Maintenance Deployments - with Dr Rebecca French

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 27 Nov 2024 10:40:14 +0000

In this episode, you will learn:

Role Evolution and Expertise: Rebecca French, Senseye's Technical Delivery Lead, discusses her journey from data science to technical delivery, emphasizing the importance of bridging customer feedback with product development.
Predictive Maintenance at Scale: The episode explores how Senseye's predictive maintenance platform scales across diverse assets, avoiding asset-specific models, which makes it adaptable and efficient for large-scale deployments.
Importance of Communication and User Involvement: Rebecca highlights the need for clear communication between Senseye’s teams and the end users, ensuring that predictive maintenance insights are accessible and actionable.
Gen AI's Impact on Predictive Maintenance: The integration of generative AI, like Maintenance Co-Pilot, enriches the predictive maintenance process by offering deeper, contextual insights that support maintenance teams' decision-making.
Success Stories and Cultural Shifts: A focus is placed on how companies like BlueScope Steel have embedded predictive maintenance into their organizational culture, leading to role creation for champions within the organization, underscoring predictive maintenance's transformative impact on businesses.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

The truth about predictive maintenance - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 21 Nov 2024 09:15:45 +0000

Episode Summary:

Predictive Maintenance Evolution: Understanding the progression from condition monitoring to predictive maintenance, emphasizing the benefits of reducing unplanned downtime and improving maintenance efficiency.
Conversational Predictive Maintenance: Introduction of conversational predictive maintenance powered by AI, which makes interacting with maintenance data more user-friendly through chat functions and copilots.
Data Utilization: Discussion on how even small amounts of data can effectively inform maintenance decisions, challenging the misconception that large datasets are necessary for predictive maintenance.
AI's Role in Maintenance: Exploration of generative AI's role in making maintenance tasks more accessible and scalable, allowing users to ask natural language questions about machine conditions and get informed, contextual responses.
Human and Machine Collaboration: Insights into how the integration of AI is transforming predictive maintenance into a more interactive process, supporting users in real-time decision-making and troubleshooting.
Ongoing Innovation: Speculation on the future of predictive maintenance, particularly how AI-driven insights will continue to evolve and improve maintenance strategies.

Digital Transformation and AI in Mining - a discussion with Joseph Starwood from Microsoft

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 19 Nov 2024 16:33:24 +0000

Episode Summary:

Exploring AI's Role in Mining: Learn how AI and digital transformation are reshaping the mining industry, from improving operational efficiency to offering predictive insights.
Fostering a Data-Driven Workforce: We’ll discuss the importance of a people-centric approach, where a data-driven culture enhances safety, productivity, and decision-making.
Simple Wins in Digitization: Expect insights on how mining companies can easily start their digital journey by automating manual processes for faster, safer operations.
Addressing Workforce Gaps with AI: Hear how AI and automation can fill critical skill gaps as the mining workforce ages, making the industry safer and less dependent on physical labor.
Building Strategic Partnerships: We’ll talk about the value of collaborating with tech providers to build a secure, open ecosystem that accelerates digital transformation in mining.

Understanding predictive maintenance buzzwords - with Maria Thoms

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 14 Nov 2024 16:37:00 +0000

This episode covers:

The Basics of Predictive Maintenance: Understand how predictive maintenance uses data to forecast machine failures and optimize maintenance schedules, saving time and resources.
AI and Machine Learning in Maintenance: Learn how AI and machine learning algorithms analyze data to detect anomalies and predict equipment breakdowns.
Condition Monitoring as a Foundation: Discover how condition monitoring collects real-time data to enable predictive maintenance, providing insights into equipment performance.
Digital Twins Explained: Explore the concept of digital twins—virtual models of physical assets—and how they help simulate, test, and optimize machinery before real-world deployment.
Cloud vs. On-Premise Data Solutions: Understand the differences between cloud and on-premise storage, focusing on security, accessibility, and scalability for industrial applications.

SPS 2023: The state of readiness in the Danish Market

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 13 Nov 2024 08:57:03 +0000

In this episode we revisit last years SPS to explore the state of readiness in the Danish Market.

Hinter den Kulissen der industriellen KI: Innovationen und Insights mit Christina Schloter

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 07 Nov 2024 14:00:05 +0000

Willkommen zum Trend Detection Podcast, präsentiert von Senseye Predictive Maintenance – der Plattform, die eine skalierbare vorausschauende Instandhaltung für sämtlicheAnlagen ermöglicht.

Beschreibung: • Die Entwicklung erkunden: Entdecken Sie die aktuellen Fortschritte in der industriellen KI und Automatisierung, während wir uns mit den neusten Tools und Technologien beschäftigen, die die Industrie prägen.

• Die Revolution der Automatisierung: Entdecken Sie mehr über die zukunftsweisenden Projekte von Siemens, darunter das Copilot-System und digitale Geschäftsmodelle im Umfeld der Fabrikautomatisierung.

• Einblicke in KI-Strategien: Erfahren Sie mehr über vorausschauende Instandhaltung, KI-Infrastrukturen und wie generative KI die Industrie verändert.

• Zukünftige Trends: Werfen Sie einen Blick in die Zukunft der industriellen KI, einschließlich aufkommender Technologien und zukünftiger Veränderungen in der Industrie..

Weitere Informationen darüber, wie Senseye Predictive Maintenance ungeplante Ausfälle reduziert und die Nachhaltigkeit Ihrer Produktionsanlagen verbessert, finden Sie unter www.siemens.com/senseye-predictive-maintenance

Bluescope Steel Success Case Deep Dive - with Chris Wonson

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 05 Nov 2024 14:30:47 +0000

This episode covers:

Overview of the deployment of Senseye Predictive Maintenance deployment at Bluescope Steel
Deep dive into a success case that resulted in 24 hours unplanned downtime savings
How the new copilot functionality in Senseye is transforming the way they work
Advice to other companies looking to implement predictive maintenance solutions

F&B TechTalks: Innovative concepts – Predictive Maintenance

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 01 Nov 2024 11:32:38 +0000

This episode covers:

Optimizing Plant Performance and Reducing Downtime
- Learn how predictive maintenance uses data insights to improve efficiency, keep operations smooth, and minimize unplanned downtime.
Enhancing Product Quality and Safety
- Explore how early issue detection helps maintain consistent product quality, safeguards employees, and reduces environmental risks.
Scalable Solutions for Proactive Issue Detection
- Discover how our scalable predictive maintenance solutions enable you to detect potential issues before they occur, ensuring safer and more sustainable operations.

Sensors - When, where, why? - With Chris Garrison

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 29 Oct 2024 15:42:25 +0000

This episode with Chris Garrison Covers:

The Evolution of Predictive Maintenance and Sensor Technology: How advancements in sensor tools enable proactive fault prediction.
Starting Predictive Maintenance with Available Data: Using onboard diagnostics to kickstart predictive maintenance without major investments.
Optimizing Sensor Coverage for Different Equipment: Determining the right sensor setup based on equipment complexity and fault characteristics.
Adopting a Holistic Approach to Asset Health: Leveraging diverse data types to gain a comprehensive view for proactive maintenance.
Unlocking Benefits Beyond Maintenance: How predictive maintenance improves safety, reduces downtime, and enhances efficiency across the organization.

Senseye Predictive Maintenance Vortrag Maintenance Zürich

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 25 Oct 2024 14:20:51 +0000

Listen to learn how our Senseye Predictive Maintenance improves production and management KPIs by analyzing and predicting machine and maintainer behavior using AI – and you do not have to be data scientist!

Digitalize Metals, Mining, and Minerals with Thomas Walther

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 23 Oct 2024 13:09:18 +0000

Unlocking Manufacturing Excellence with Predictive Maintenance - with Kelli Case

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 18 Oct 2024 10:30:05 +0000

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Unlocking Next-Level Predictive Maintenance with Data, People, and Generative AI

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 16 Oct 2024 10:47:15 +0000

In this session, we discussed the following:

The role of data analytics in predictive maintenance and how to harness its full potential.
How to leverage human expertise alongside advanced algorithms to achieve a more proactive maintenance approach.
Using GenAI (Generative Artificial Intelligence) to help prevent equipment failures.
Real-world case studies showcasing successful implementations of Senseye Predictive Maintenance.

Streamlining Predictive Maintenance with Senseye and Mendix- with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 11 Oct 2024 09:32:55 +0000

For this session, we discussed streamlining Predictive Maintenance with Senseye PdM and Mendix with Johnathan Bonner.

This episode covers:

Benefits of Predictive Maintenance: Leveraging existing data to reduce downtime, increase maintenance efficiency, and lower operating costs.
Role of Low-Code Platforms: Enhancing predictive maintenance with rapid, customizable application development that integrates seamlessly with existing systems.
Centralized Maintenance Workflows: Streamlining maintenance processes by combining predictive insights with user-friendly dashboards and mobile accessibility.
Scalability and Data Management: Handling large data volumes efficiently and offering flexible, scalable deployment options to support growing operations.
Comprehensive Customer Support: Providing ongoing assistance with implementation, customization, and maintenance to ensure successful integration and user adoption.

The evolution of maintenance - with Richard Jeffers

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 08 Oct 2024 08:34:43 +0000

For this session, we discussed the evolution of maintenance with Richard Jeffers.

We cover:

Key components of an effective maintenance strategy were highlighted, emphasizing the importance of a proactive and data-driven approach.
Challenging technical issues and insights into the innovative solutions used to resolve them.
The impact of predictive maintenance on overall efficiency was explored, along with how advancements in IoT and AI are transforming maintenance practices.
Current trends and future directions in the maintenance industry, including how the role of maintenance professionals is expected to evolve over the next decade.

Follow Richard Jeffers on LinkedIn

Learn more about RS: Maintenance Solutions | RS

Cautionary tales of predictive maintenance - with Dr Natalie Kurgan

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 04 Oct 2024 12:41:09 +0000

For this session, we discussed the topic of Cautionary tales of predictive maintenance - with Dr Natalie Kurgan.

We cover:

1. Build the Right Foundation

Discover why setting up the right infrastructure is crucial before implementing any predictive maintenance (PDM) solution. Without it, success is a struggle.

2. Clear Goals Drive Success

Learn how defining clear business objectives and aligning them with your PDM solution can deliver real, measurable value.

3. Start Simple, Scale Fast

Get practical tips on why starting with simpler assets like motors helps you scale effectively to more complex equipment over time.

4. Collaboration is Key

Understand how involving and educating your team at every stage of implementation is essential for maximizing the benefits of PDM.

5. Bust Predictive Maintenance Myths

Break through the marketing hype! Learn what PDM can (and can’t) do— it’s not about predicting failures, but ensuring timely, effective maintenance.

The 5 phases of a successful Predictive Maintenance deployment

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 02 Oct 2024 12:36:34 +0000

In this episode we share a tried and true methodology to implement successful and scalable PdM projects using our industry-leading Senseye Knowledge Platform. We will cover the five phases crucial to a successful deployment.

We cover:

Scope: Discovery, putting together a plan, defining success.
Design: Creating a detailed project design and machine selection.
Deploy: Set up and technical implementation.
Operate: Effective usage of Senseye, learning and tracking success.
Refine: Gathering and using feedback

Bringing the engineering community together - with Thomas Flude

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 27 Sep 2024 08:13:46 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Bringing the engineering community together - with Thomas Flude.

This episode covers:

Building an Industrial Manufacturing Community: The episode explores how the guest, Tom and his business partner are creating an industrial manufacturing community through their startup, Engineers Insight. They discuss the unique aspects of this community and its purpose in the industry.
Challenges in Engineering Knowledge Retention: The conversation highlights the growing issue of knowledge gaps in engineering, particularly as experienced engineers retire without passing on their expertise to the next generation. The episode discusses the importance of addressing this gap.
The Role of Feedback in Product Development: Tom emphasizes the significance of continuous feedback from users, which has shaped Engineers Insight from a simple marketing tool into a comprehensive resource platform. This process of user-driven development is a central theme.
Engaging the Next Generation of Engineers: The podcast delves into strategies for connecting with and inspiring the next generation of engineers, including integrating educational institutions into the platform and addressing the generational shift in expectations from young engineers entering the field.
The Impact of AI and Technology in Manufacturing: The discussion touches on the role of AI and other technologies in the manufacturing sector

Readiness for predictive maintenance in Japan - with Taku Shigihara

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 24 Sep 2024 12:00:59 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Readiness for predictive maintenance in Japan - with Taku Shigihara.

This episode covers:

Trends and Adoption: Growing interest in predictive maintenance in Japan, driven by efficiency needs and supported by AI and IoT investments.
Cultural and Regulatory Impact: Japan’s strong quality focus and stringent regulations push adoption, but traditional practices and cautious decision-making can slow progress.
Benefits and Innovations: Companies can expect cost savings and efficiency gains, with emerging sector-specific solutions and AI-driven analytics tailored for the Japanese market.

Improving safety with predictive maintenance - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 20 Sep 2024 09:53:27 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Improving safety with predictive maintenance - with Tom Jacques.

This episode covers:

How Predictive Maintenance Enhances Safety: Discover how predictive maintenance can prevent equipment failures and reduce incidents, leading to safer industrial and operational environments.
The Cost and Industry Impact: Learn about the cost-effectiveness of predictive maintenance and why it’s especially crucial in high-risk industries like manufacturing, aviation, and energy.
Workforce and Compliance Considerations: Understand how predictive maintenance affects workforce roles, training, and compliance with safety regulations, contributing to overall job safety.
Future Trends and Implementation Strategies: Explore upcoming innovations in predictive maintenance and get practical advice on how to begin implementing these strategies to improve safety in your organization.

Flowing Forward: Digital Transformation in the Water Industry - with Steve Hanslow

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 17 Sep 2024 08:54:48 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Flowing Forward: Digital Transformation in the Water Industry.

Key takeaways:

Broad Overview: We explore the concept of digital transformation in the water industry, an area often overlooked but crucial for modernizing essential services.
Challenges & Scale: Discover the scale of the water industry's operations, including the delivery and treatment of billions of liters of water daily, and the extensive network of infrastructure that supports these processes.
The Need for Change: Understand the necessity of digital transformation in an industry faced with aging infrastructure and the demand for increased efficiency and innovation.
Learning Across Industries: How lessons from the water sector's digital shift can be applied to other industries and what all sectors can learn from these advancements.

Transforming Predictive Maintenance by combining Data, People, and Generative AI

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 13 Sep 2024 08:43:51 +0000

In this episode with Alex Hill, discover how our cloud-based machine learning platform has already revolutionized global maintenance, delivering millions in annual savings.

With the integration of Generative AI, a new era of Asset Intelligence unfolds, driving sustainability, efficiency, and unprecedented savings.

Learn how this innovative technology fosters knowledge sharing and impactful conversations among users, AI systems, and maintenance experts.

Elevate your maintenance strategy and embrace the future of Predictive Maintenance with Siemens.

Roles required for successful predictive maintenance - Part two - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 12 Sep 2024 09:45:55 +0000

For this session, we were joined by Richard Ella to discuss

This episode covers:

What are the key roles involved in implementing a successful predictive maintenance program?
How important are reliability engineers and digital transformation leaders to the process?

You can also tune into:

Part one of the series here

Getting value from a predictive maintenance platform through customer success management here

Please subscribe via your selected podcast provider to be notified about future episodes.

The Future of Predictive Maintenance Today: Introducing Maintenance Copilot Senseye

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 06 Sep 2024 09:03:36 +0000

In this exclusive episode Dan Reid & Niall Sullivan introduce Maintenance Copilot Senseye, the next evolution in predictive maintenance technology.

Experience firsthand how this Generative AI powered virtual maintenance assistant can help to:

Experience firsthand how this Generative AI powered virtual maintenance assistant can help to:
Reinterpret complex data in an easy to understand, natural language format
Capture and retain the knowledge of experienced workers and make it accessible for future use
Encourage global teams to form a collaborative approach to troubleshooting and maintenance, by allowing them to easily share insights and compare data across multiple locations
Make better informed decisions by providing data-driven, prescriptive insights.

Instandhaltung meets KI

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 03 Sep 2024 08:11:00 +0000

Vorausschauende Instandhaltung soll durch Senseye, eine Siemens KI-Anwendung, noch zuverlässiger werden und die Einstiegshürden verschwinden lassen - so zumindest die Theorie.

Wie es in der Praxis aussieht, das erfahren wir von Senseye-Projektleiter Andreas Dettmer und von Dominik Klemm, Anwender der ersten Stunde aus dem Gerätewerk Erlangen.

Predictive Maintenance in Middle East Manufacturing - with Johnathan Bonner and Rakesh D'souza

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 30 Aug 2024 09:44:56 +0000

For this session, we discussed the topic of The Power of Predictive Maintenance in Middle East Manufacturing - with Johnathan Bonner and Rakesh D'souza.

This episode covers:

Overview and Benefits: Explanation of predictive maintenance and its advantages over traditional methods, including cost savings and improved efficiency.
Key Technologies: Discussion on the crucial technologies enabling predictive maintenance and their accessibility to Middle East manufacturers.
Implementation Challenges: Insights into the common challenges faced and solutions for integrating predictive maintenance in manufacturing processes.
Economic and Environmental Impact: Analysis of the economic benefits, ROI, and contributions to sustainability through predictive maintenance.
Future Trends: Exploration of emerging trends and the future direction of predictive maintenance in the Middle East manufacturing sector.

Watch the webinar recording here: https://www.siemens.com/mea/en/products/automation/senseye-process-manufacturing.html?elqTrackId=13141B270A7933953E7D5D3F977827C1&elq=0f5d884e93f7451995848a5a87f6a81f&elqaid=62147&elqat=1&elqCampaignId=#Registration

Solução de Manutenção Preditiva baseada em IA - Larissa Silva and André Brag

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 23 Aug 2024 15:32:45 +0000

A digitalização está transformando radicalmente a forma como lidamos com a manutenção de equipamentos e instalações. A manutenção preditiva, em particular, emerge como uma ferramenta vital nesse contexto. Descubra como a plataforma Senseye, impulsionada por inteligência artificial e machine learning, pode te ajudar a prever e prevenir falhas economizando tempo e dinheiro.

Predictive maintenance for charging infrastructure- with Stefan Lerbs

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 21 Aug 2024 10:10:39 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic ofPredictive maintenance for charging infrastructure- with Stefan Lerbs.

Key takeaways:

Focus on Data Analysis and Condition-Based Maintenance:
- Exploring the role of advanced data analysis and maintenance strategies.
- Emphasis on maximizing uptime for electric vehicle charging stations.
Real-Time Insights for Preventive Maintenance:
- Use of real-time data to identify potential issues before they escalate.
- Ensures seamless operations and minimizes downtime.
Impact on Electric Bus and Truck Fleets:
- Importance of these strategies for maintaining efficient charging infrastructure.
- Specific focus on electric buses and trucks.
Future of Smart, Efficient Charging Infrastructure:
- Discussion on the broader implications for the future of EV charging.
- Highlighting the episode as essential for those interested in advanced charging solutions.

Please subscribe via your selected podcast provider to be notified about future episodes.

Data is still the engine of growth - with Ryan Prosser and Dan Fudge

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 19 Aug 2024 07:36:20 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Data is still the engine of growth - with Ryan Prosser and Dan Fudge.

Key takeaways:

Vast, high-quality data is crucial for the AI boom as it enables more accurate models and drives advancements through accessible resources.
Sensors optimize business operations by providing real-time data, and businesses must customize IoT infrastructure to meet specific needs.
A multidisciplinary approach integrates various fields into IoT systems, while AI and edge computing enhance performance by reducing latency.
AI in IoT systems offers cost and security benefits but presents challenges in ensuring robust security and adapting to evolving wireless solutions.

Please subscribe via your selected podcast provider to be notified about future episodes.

Learn more about this at:

Website: Very | IoT Development Company | Award Winning IoT

Over the Air Podcast: IoT Podcast | Over the Air l Very

Smart Maintenance: How AI Elevates Predictive Strategies - with Alex Hill- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 13 Aug 2024 07:45:55 +0000

This episode is owned by PA Digitalization Tech Talks Podcast Series.

In this episode, we explore synergies between artificial intelligence and predictive maintenance in the process industries. Discover how AI revolutionizes maintenance protocols, predicts the unpredictable and safeguards against equipment failure.

These algorithms monitor, analyze, and forecast, turning vast streams of data into actionable insights while working tirelessly behind the scenes to ensure that facilities run smoothly with minimal interruption.

Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as:

What data is critical for AI systems to effectively predict equipment failures, and how is this data collected?
How does a company get started with implementing AI for predictive maintenance?
What are some of the key challenges in integrating AI with existing maintenance infrastructure?

Please subscribe via your selected podcast provider to be notified about future episodes.

Roles required for successful predictive maintenance with Richard Ella- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 09 Aug 2024 13:55:16 +0000

This episode covers:

What are the key roles involved in implementing a successful predictive maintenance program?
How important are reliability engineers and digital transformation leaders to the process?

Please subscribe via your selected podcast provider to be notified about future episodes.

Roles required for successful predictive maintenance with Richard Ella- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 09 Aug 2024 13:49:48 +0000

This episode covers:

What are the key roles involved in implementing a successful predictive maintenance program?
How important are reliability engineers and digital transformation leaders to the process?

Please subscribe via your selected podcast provider to be notified about future episodes.

Smart Maintenance: How AI Elevates Predictive Strategies - with Alex Hill- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 08 Aug 2024 10:47:49 +0000

This episode is owned by PA Digitalization Tech Talks Podcast Series.

Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as:

What data is critical for AI systems to effectively predict equipment failures, and how is this data collected?
How does a company get started with implementing AI for predictive maintenance?
What are some of the key challenges in integrating AI with existing maintenance infrastructure?

Please subscribe via your selected podcast provider to be notified about future episodes.

Smart Maintenance: How AI Elevates Predictive Strategies - with Alex Hill- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 08 Aug 2024 10:23:05 +0000

This episode is owned by PA Digitalization Tech Talks Podcast Series.

Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as:

What data is critical for AI systems to effectively predict equipment failures, and how is this data collected?

How does a company get started with implementing AI for predictive maintenance?

What are some of the key challenges in integrating AI with existing maintenance infrastructure?

Predictive Maintenance in Conversation: IoT Time - With Peter Shopf

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 05 Aug 2024 10:53:03 +0000

This episode covers:

Process automation
AI and Agents
Insurance Use cases
Data Strategy

Please subscribe via your selected podcast provider to be notified about future episodes.

The key to successful predictive maintenance deployments - with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 31 Jul 2024 19:13:35 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Tom Jacques to discuss the key to successful predictive maintenance deployments.

This episode covers:

Learn how successful organizations foster a proactive, data-centric culture that encourages cross-department collaboration.
Discover effective strategies for securing buy-in at all levels through clear communication, stakeholder involvement, and training.
Understand the primary objectives of predictive maintenance and how to align them with your overall business goals.
Get insights into the financial aspects, including initial costs and long-term savings, and how to conduct a cost-benefit analysis.
Uncover common misconceptions and learn how to mitigate risks through education, robust data security, and adaptive strategies.

Please subscribe via your selected podcast provider to be notified about future episodes.

Siemens Xcelerator, interoperability and scalable solutions - With Gerhard Kress

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 25 Jul 2024 10:59:42 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Gerhard Kress to discuss Siemens Xcelerator, interoperability and scalable solutions.

In this episode we discuss:

Siemens Xcelerator: Revolutionizing Business Efficiency: Explore how Siemens Xcelerator is transforming businesses with its innovative approach to interoperability and scalability in technology solutions.
Driving Collaboration and Growth: Discover how Siemens Xcelerator fosters collaboration among teams and facilitates scalable solutions to meet the evolving needs of businesses across industries.
Securing the Future of Digital Transformation: Learn how Siemens Xcelerator prioritizes data security while embracing emerging technologies, providing businesses with the tools they need to thrive in today's dynamic technological landscape.

You can find out more about Siemens Xcelerator below:

https://xcelerator.siemens.com/global/en.html

Please subscribe via your selected podcast provider to be notified about future episodes.

The Power of Generative AI in Predictive Maintenance - with Rob Russell

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 23 Jul 2024 14:51:26 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. This episode has been extracted from the Over the Air Podcast:

https://www.verytechnology.com/iot-podcast/generative_ai

Please subscribe via your selected podcast provider to be notified about future episodes.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

DE Episode: Predictive Maintenance  Zuverlässigkeit neu definiert with Christina Schloter- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 19 Jul 2024 09:28:42 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

Why Predictive Maintenance shouldn't be free - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 17 Jul 2024 09:13:40 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Nat Ford to discuss Why Predictive Maintenance shouldn't be free.

In this episode we:

Why are free PdM solutions becoming more common?
Differences between offerings that are free vs paid
In what ways does offering predictive maintenance for free influence customer expectations?
Why should a customer invest more in a scalable, predictive maintenance programme?

Please subscribe via your selected podcast provider to be notified about future episodes.

DE Episode: Predictive Maintenance  Zuverlässigkeit neu definiert with Christina Schloter- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 15 Jul 2024 14:50:42 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

Senseye and the Challenges of Offline Data- with Dr. Natalie Kurgan

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 12 Jul 2024 12:47:56 +0000

For this session, we were joined by Dr Natalie Kurgan, to discuss Problems with offline data analysis.

Liz Maginn and Dr. Natalie Kurgan discuss the challenges of using offline data with Senseye Predictive Maintenance.

Prove Senseye with Live Data and get real results during the trail
Senseye is a tool that works with your data and you to improve maintenance
Senseye is looking towards the future and preventing failures not looking towards the past to prove why a failure happened
Touches on data quality and the process of integrating Senseye

Please subscribe via your selected podcast provider to be notified about future episodes.

The role of time series data in creating intelligent IIoT systems - with Evan Kaplan

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 10 Jul 2024 10:44:00 +0000

For this session, we were joined by Evan Kaplan, CEO of InfluxData, to discuss the role of time series data in creating intelligent IIoT systems.

In this episode we:

Discussed the significance of IIoT and the importance of time series data in monitoring and optimizing industrial processes.
Explored real-world examples and case studies of industries successfully using time series data to enhance their IIoT systems.
Covered the role of sensors in capturing data, challenges in data collection, and methods for storing and analyzing large volumes of time series data.
Highlighted how time series data enables predictive maintenance and anomaly detection, preventing equipment failures and improving operational efficiency.
Discussed emerging technologies, future trends, and the evolving role of time series data in advancing intelligent IIoT systems.

Learn more about InfluxData:

Website: InfluxDB | Real-time insights at any scale | InfluxData

Free Trial: Get InfluxDB | #1 Ranked Time Series Database | InfluxData

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance - Build vs Buy with Tom Jacques

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 05 Jul 2024 09:36:05 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Tom Jacques to discuss Predictive Maintenance - Build vs Buy.

In this episode we:

Discover key factors in choosing between developing or purchasing a predictive maintenance solution.
Understand the risks and uncertainties of both approaches.
Learn strategies to mitigate risks for a smooth implementation.
Explore differences in customization and scalability between custom-built and purchased solutions.
Delve into integration, compatibility issues, and future trends in predictive maintenance with AI advancements.

Please subscribe via your selected podcast provider to be notified about future episodes.

The True Cost of Downtime 2024 - With Anja Adling- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 02 Jul 2024 10:56:08 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Anja Adling to discuss.

The True Cost of Downtime 2024

In this episode we cover:

Overview of Senseye's True Cost of Downtime report Key findings and insights from the report
Primary factors contributing to downtime and emerging trends
Emerging technological innovations for reducing downtime
Influence of the report on organizational decision-making

Please subscribe via your selected podcast provider to be notified about future episodes.

The True Cost of Downtime 2024 - With Anja Adling- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 28 Jun 2024 09:49:05 +0000

For this session, we were joined by Anja Adling to discuss. The True Cost of Downtime 2024

In this episode we cover:

Overview of Senseye's True Cost of Downtime report Key findings and insights from the report
Primary factors contributing to downtime and emerging trends
Emerging technological innovations for reducing downtime
Influence of the report on organizational decision-making

Please subscribe via your selected podcast provider to be notified about future episodes.

PdM in Conversation: Digital transformation and the art of the possible - with Kevin O'Donovan

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 26 Jun 2024 07:36:26 +0000

For this session, we were joined by Kevin O'Donovan to discuss Digital Transformation and the art of the possible.

In this episode we cover:

what digital transformation truly means and why it's essential for businesses of all sizes in today's rapidly evolving landscape.
the critical components of a successful digital transformation strategy, including balancing innovation with risk, fostering a supportive company culture, and leveraging emerging technologies.common pitfalls to avoid, methods to measure the success of digital initiatives, and how leaders can promote continuous innovation and adaptability within their organizations.

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance Unmasked: Challenges within Automotive Industry- with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 21 Jun 2024 08:13:56 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Johnathan Bonner to discuss challenges within the Automotive Industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

Readiness for predictive maintenance in Australia - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 18 Jun 2024 10:26:46 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session we discussed Readiness for predictive maintenance in Australia - with Richard Ella.

This episode covers:

Current trends in predictive maintenance adoption in Australia
Key barriers to widespread use of predictive maintenance in Australia
Potential cost savings, efficiency improvements, and emerging innovations specific to the Australian market
How Bluescope Steel has embraced digital transformation throughout their organisation

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance Unmasked: Challenges within Heavy Industry- with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 14 Jun 2024 11:00:29 +0000

For this session, we were joined by Johnathan Bonner to discuss challenges within Heavy Industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

Getting value from a predictive maintenance platform through customer success management

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 12 Jun 2024 08:18:17 +0000

In this episode we are joined by Peter O'Hara

Discover how our Senseye Predictive Maintenance prioritizes customer success and maximizes value.
Learn about our seamless onboarding process and integration support.
Explore the resources and channels we offer for effective platform use.
Hear about common challenges and how we help customers overcome them.
See real-world examples of successful outcomes and ROI with our solution.

Please subscribe via your selected podcast provider to be notified about future episodes.

How AI is optimizing factory maintenance with Dr. James Loach – Part 3

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 05 Jun 2024 07:45:27 +0000

In this episode, host Spencer Acain is joined by Dr. James Loach, Head of Research for Senseye Predictive Maintenance, to explore the unique approach Senseye is taking to the problem of keeping factories running as smoothly as possible.

Please subscribe via your selected podcast provider to be notified about future episodes.

How AI is optimizing factory maintenance with Dr. James Loach – Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 04 Jun 2024 08:16:10 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

How AI is optimizing factory maintenance with Dr. James Loach – Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 03 Jun 2024 08:12:33 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

Readiness for predictive maintenance (UK) with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 29 May 2024 09:54:38 +0000

In this episode, we discuss Readiness for predictive maintenance (UK) with Nat Ford.

Please subscribe via your selected podcast provider to be notified about future episodes.

Use Case Deep Dive: Mobile Mining- with Richard Ella Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 24 May 2024 10:27:17 +0000

In this episode, we discuss Mobile Mining with Richard Ella.

Please subscribe via your selected podcast provider to be notified about future episodes.

Use Case Deep Dive: Mobile Mining- with Richard Ella Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 22 May 2024 10:27:23 +0000

In this episode, we discuss Mobile Mining with Richard Ella.

Please subscribe via your selected podcast provider to be notified about future episodes.

Vibration analysis deep dive with Chris Garrison- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 16 May 2024 09:12:09 +0000

In this two part episode, we were joined by Chris Garrison to discuss:

Fundamental principles of vibration spectral analysis
How it aids industrial predictive maintenance strategies.
Key obstacles and typical mitigation strategies.
Exciting developments in technology within this area

Please subscribe via your selected podcast provider to be notified about future episodes.

Vibration analysis deep dive with Chris Garrison- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 14 May 2024 09:13:16 +0000

In this two part episode, we were joined by Chris Garrison to discuss:

Fundamental principles of vibration spectral analysis
How it aids industrial predictive maintenance strategies.
Key obstacles and typical mitigation strategies.
Exciting developments in technology within this area

Please subscribe via your selected podcast provider to be notified about future episodes. You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Creating a predictive maintenance RFP that covers all bases with David Peterson- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 10 May 2024 08:30:21 +0000

In this two part episode, we were joined by David Peterson to discuss:

Key components in an RFP for predictive maintenance solutions Effective strategies for defining requirements and objectives
Strategies to attract qualified vendors
Common pitfalls to avoid

Please subscribe via your selected podcast provider to be notified about future episodes.

Creating a predictive maintenance RFP that covers all bases with David Peterson- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 08 May 2024 08:20:45 +0000

In this two part episode, we were joined by David Peterson to discuss:

Key components in an RFP for predictive maintenance solutions Effective strategies for defining requirements and objectives
Strategies to attract qualified vendors
Common pitfalls to avoid

Please subscribe via your selected podcast provider to be notified about future episodes.

ES: ¡Bienvenidos al mundo del Mantenimiento Predictivo! Parte 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 03 May 2024 13:08:06 +0000

Acompáñanos en una amena conversación con el equipo de Senseye. Este episodio está dirigido tanto a profesionales de la industria como a cualquier persona interesada en el futuro del mantenimiento industrial. En este episodio exploraremos:

Cómo funciona el Mantenimiento Predictivo: Te explicaremos de forma clara y sencilla los principios básicos del Mantenimiento Predictivo.
Desmitificando conceptos erróneos: Abordaremos las ideas falsas más comunes que rodean al Mantenimiento Predictivo.
Resultados tangibles: Te mostraremos casos reales de cómo el Mantenimiento Predictivo ha beneficiado a las empresas.
Lo que necesita un cliente: Discutiremos los elementos clave para implementar con éxito estrategias de Mantenimiento Predictivo.

Recuerda: La clave para la excelencia operativa está en ser proactivo. ¡No te quedes atrás!Suscríbase a través de su proveedor de podcasts seleccionado para recibir notificaciones sobre episodios futuros. Puede obtener más información sobre cómo Senseye Predictive Maintenance puede reducir el tiempo de inactividad no planificado y contribuir a mejorar la sostenibilidad dentro de sus plantas de fabricación visitando: www.siemens.com/senseye-predictive-maintenance

ES: ¡Bienvenidos al mundo del Mantenimiento Predictivo! Parte 1

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 01 May 2024 13:30:18 +0000

En este episodio exploraremos:

Cómo funciona el Mantenimiento Predictivo: Te explicaremos de forma clara y sencilla los principios básicos del Mantenimiento Predictivo.
Desmitificando conceptos erróneos: Abordaremos las ideas falsas más comunes que rodean al Mantenimiento Predictivo.
Resultados tangibles: Te mostraremos casos reales de cómo el Mantenimiento Predictivo ha beneficiado a las empresas.
Lo que necesita un cliente: Discutiremos los elementos clave para implementar con éxito estrategias de Mantenimiento Predictivo.

Recuerda: La clave para la excelencia operativa está en ser proactivo. ¡No te quedes atrás!

Suscríbase a través de su proveedor de podcasts seleccionado para recibir notificaciones sobre episodios futuros. Puede obtener más información sobre cómo Senseye Predictive Maintenance puede reducir el tiempo de inactividad no planificado y contribuir a mejorar la sostenibilidad dentro de sus plantas de fabricación visitando: www.siemens.com/senseye-predictive-maintenance

Transforming Predictive Maintenance by Combining Data, People and Generative AI with Dr Simon Kampa

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 30 Apr 2024 08:32:08 +0000

This episode features an exclusive presentation given by Dr Simon Kampa at Hannover Messe 2024. He covers the topic of Transforming Predictive Maintenance by Combining Data, People and Generative AI and highlights the key features of the Senseye PdM application.

Please subscribe via your selected podcast provider to be notified about future episodes.

Industrial AI with Boris Scharinger- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 26 Apr 2024 08:29:06 +0000

In this session we discuss Industrial AI with Boris Scharinger. Please subscribe via your selected podcast provider to be notified about future episodes.

Industrial AI with Boris Scharinger- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 24 Apr 2024 09:42:09 +0000

In this session we discuss Industrial AI with Boris Scharinger. Please subscribe via your selected podcast provider to be notified about future episodes.

Readiness for PdM in India with Abhishek Basu- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 19 Apr 2024 09:39:35 +0000

In this session we discuss Readiness for PdM in India with Abhishek Basu. Please subscribe via your selected podcast provider to be notified about future episodes.

Readiness for PdM in India with Abhishek Basu- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 16 Apr 2024 09:37:48 +0000

In this session we discuss Readiness for PdM in India with Abhishek Basu. Please subscribe via your selected podcast provider to be notified about future episodes.

DE Episode: IoT Time- with Peter Schopf and Christina Schloter

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 12 Apr 2024 11:32:17 +0000

In this session we discuss IoT time with Peter Schopf and Christina Schloter. Please subscribe via your selected podcast provider to be notified about future episodes.

Plant Maintenance Services Contracts and Predictive Maintenance- with Prasad Narayanan

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 09 Apr 2024 08:39:31 +0000

In this session we discuss Plant Maintenance Services Contracts and Predictive Maintenance with Prasad Narayanan. Please subscribe via your selected podcast provider to be notified about future episodes.

Data, AI and Predictive Maintenance for Sustainability- with Rob Russell

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 01 Apr 2024 17:00:00 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session we discuss Data, AI and Predictive Maintenance for Sustainability with Rob Russell.

Please subscribe via your selected podcast provider to be notified about future episodes.

Case Study: Senseye Predictive Maintenance at GWE with Dominik Klemm

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 26 Mar 2024 10:24:29 +0000

For this session we are joined by Dominik Klemm to discuss Senseye Predictive Maintenance at GWE.

Please subscribe via your selected podcast provider to be notified about future episodes.

Misconceptions about Predictive Maintenance with Dr Natalie Kurgan- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 22 Mar 2024 21:31:00 +0000

For this session, we discuss The Misconceptions of Predictive Maintenance

Please subscribe via your selected podcast provider to be notified about future episodes.

Misconceptions about Predictive Maintenance with Dr Natalie Kurgan- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 21 Mar 2024 14:28:34 +0000

For this session, we discuss The Misconceptions of Predictive Maintenance

Please subscribe via your selected podcast provider to be notified about future episodes.

Technology Adoption in Metals and Mining with Richard Ella- Part 2

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 19 Mar 2024 17:14:00 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Richard Ella to discuss Technology Adoption in Metals and Mining

Please subscribe via your selected podcast provider to be notified about future episodes.

Technology Adoption in Metals and Mining with Richard Ella- Part 1

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 18 Mar 2024 17:00:00 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Richard Ella to discuss Technology Adoption in Metals and Mining

Please subscribe via your selected podcast provider to be notified about future episodes.

Generative AI and Predictive Maintenance- with James Loach

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 13 Mar 2024 09:36:32 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by James Loach to discuss the impact of Generative AI on Predictive Maintenance

Please subscribe via your selected podcast provider to be notified about future episodes.

The truth about predictive maintenance - with Nathaniel Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 11 Mar 2024 16:26:09 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Nathaniel Ford where we discuss the truth about predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance Unmasked: Challenges within the FMCG Industry- with Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 06 Mar 2024 10:56:52 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Johnathan Bonner to discuss the topic of Predictive Maintenance Unmasked: Challenges within the FMCG Industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

Generative AI and Predictive Maintenance Deep Dive- with Dan Reid

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 05 Mar 2024 09:32:11 +0000

For this session, we were joined by Dan Reid to discuss the topic of Generative AI and Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

A Day in the Life of a Maintainer- with Jordan Walters and Sam Maxwell

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 27 Feb 2024 13:48:13 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we discuss the topic of 'A day in the life of a maintainer'. Please subscribe via your selected podcast provider to be notified about future episodes.

The State of Readiness in the Danish Market - with Anders Ottoson

siemensfm.communications@siemens.com (Siemens.FM team) — Sun, 25 Feb 2024 19:18:58 +0000

For this session, we were joined by Anders Ottoson to discuss the topic of The State of Readiness in the Danish Market.

Please subscribe via your selected podcast provider to be notified about future episodes.

Generative AI and Predictive Maintenance Deep Dive- with Rob Russell

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 22 Feb 2024 13:16:07 +0000

For this session, we were joined by Rob Russell to discuss the topic of Generative AI and Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

Phases of a PdM Project with Tamsin Turner

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 14 Feb 2024 09:01:56 +0000

For this session, we were joined by Tamsin Turner to discuss the topic of Phases of a PdM Project.

Please subscribe via your selected podcast provider to be notified about future episodes.

SPS 2023: Integration of the Industrial Information Hub

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 09 Feb 2024 09:57:42 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance. This platform enables predictive maintenance at scale across all of your assets, across all of your plants. For this episode, we revisit SPS 2023 with an insightful overview of the Industrial Information Hub delivered by Rob Russell and Ender Yuezbasioglu.

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance vs Condition Monitoring with Dr Chris Smith

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 06 Feb 2024 10:43:41 +0000

For this session, we were joined by Dr Chris Smith to discuss the topic of Predictive Maintenance vs Condition Monitoring.

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance is more than just asset prediction- Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 02 Feb 2024 11:24:15 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part two of this session, we discuss the topic of 'Predictive Maintenance is more than just asset prediction'.

Please subscribe via your selected podcast provider to be notified about future episodes.

Predictive Maintenance is more than just asset prediction- Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 30 Jan 2024 11:20:09 +0000

For part one of this session, we discuss the topic of 'Predictive Maintenance is more than just asset prediction'.

Please subscribe via your selected podcast provider to be notified about future episodes.

Keeping Mines Moving with Predictive Maintenance- Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 22 Jan 2024 17:20:48 +0000

For part two of this session, we were joined by Richard Ella to discuss the topic of Keeping Mines Moving with Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

Keeping Mines Moving with Predictive Maintenance- Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 22 Jan 2024 17:15:50 +0000

For part one of this session, we were joined by Richard Ella to discuss the topic of Keeping Mines Moving with Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

Learnings from Siemens Congleton - with Sarah Black-Smith - Part Three

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 19 Jan 2024 11:38:53 +0000

For part 3 of this session, Sarah Black-Smith, Sustainability Lead and General Manager Motion Control at Siemens Digital Industries, joined us to discuss the key learnings derived from Siemens Congleton.

Please subscribe via your selected podcast provider to be notified about future episodes. You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Learnings from Siemens Congleton - with Sarah Black-Smith - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 11 Jan 2024 16:17:46 +0000

For this session, we were joined by Sarah Black-Smith, Sustainability Lead and General Manager Motion Control at Siemens Digital Industries.Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Sarah:

https://www.linkedin.com/in/sarahblacksmith/

Maximizing Operations Efficiency with Industrial IoT and Predictive Maintenance

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 08 Jan 2024 17:25:24 +0000

In this live session from SPS 2023, you will learn from the experts how Insights Hub promotes a seamless eco-system within organizations and includes applications such as Senseye Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learnings from Siemens Congleton - with Sarah Black-Smith - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 04 Jan 2024 08:14:24 +0000

For this session, we were joined by Sarah Black-Smith, Sustainability Lead and General Manager Motion Control at Siemens Digital Industries.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Sarah:

https://www.linkedin.com/in/sarahblacksmith/

IoT Time - with Peter Schopf

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 20 Dec 2023 07:21:52 +0000

For this session, we were joined by Peter Schopf, an industry leading digital transformation expert to discuss all things IoT.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Peter Schopf:

https://www.linkedin.com/in/peter-schopf/

Preparing the next generation for digital transformation success - with Corey Dickens - Part Three

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 14 Dec 2023 07:22:01 +0000

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, to discuss how to prepare the next generation for digital transformation success.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey on LinkedIn:

https://www.linkedin.com/in/coreydickens/

The truth about predictive maintenance - With Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 07 Dec 2023 17:41:23 +0000

For this session, we were joined by Nat Ford, Business Development Lead for EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Preparing the next generation for digital transformation success - with Corey Dickens - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 05 Dec 2023 17:24:48 +0000

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, to discuss how to prepare the next generation for digital transformation success.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey on LinkedIn:

https://www.linkedin.com/in/coreydickens/

Predictive Maintenance: Reliability redefined – from individual machines to entire plants

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 30 Nov 2023 17:51:43 +0000

This episode was recorded live at SPS 2023 with Rob Russell, Anja Adling and Dominik Brenner.

They discussed how advanced data analysis and machine learning enhances asset monitoring, enable precise maintenance, support remote workers, increase availability, and ensure sustainability for both individual machines and entire plants.

For more information about how you can redefine reliability in your organization through predictive maintenance, please visit:

https://www.siemens.com/predictive-services

Preparing the next generation for digital transformation success - with Corey Dickens - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 28 Nov 2023 18:23:24 +0000

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, to discuss how to prepare the next generation for digital transformation success.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey on LinkedIn:

https://www.linkedin.com/in/coreydickens/

The Future of Digital Manufacturing - with Lina Huertas - Part Three

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 22 Nov 2023 14:14:05 +0000

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part the third and final of this series, Lima Huertas, Industry Executive for Manufacturing UK at Microsoft, joins us to discuss the future of digital manufacturing.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/lina-a-huertas-fimeche-95b560b/

The Future of Digital Manufacturing - with Lina Huertas - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 15 Nov 2023 10:32:47 +0000

For part two of this series, Lima Huertas, Industry Executive for Manufacturing UK at Microsoft, joins us to discuss the future of digital manufacturing.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/lina-a-huertas-fimeche-95b560b/

Technology/IoT adoption in metals and mining - with Richard Ella

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 13 Nov 2023 16:24:57 +0000

For this session, we were joined by Richard Ella, Mobile Mining Service Team Leader at Siemens, to discuss: "Technology/IoT adoption in metals and mining."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

The Future of Digital Manufacturing - with Lina Huertas - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 07 Nov 2023 10:48:46 +0000

For part one of this series, Lima Huertas, Industry Executive for Manufacturing UK at Microsoft, joins us to discuss the future of digital manufacturing.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/lina-a-huertas-fimeche-95b560b/

Senseye Soundbites - Episode Two

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 01 Nov 2023 15:50:49 +0000

For this episode, we have compiled our favourite soundbites from previous Trend Detection episodes.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Attention Engine vs Asset Risk - Leveraging AI in predictive maintenance - with Rob Russell

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 26 Oct 2023 08:33:57 +0000

For this session, we were joined by Rob Russell, Head of Predictive Maintenance Strategy & Delivery, Senseye Predictive Maintenance, to discuss: "Attention Engine vs Asset Risk - Leveraging AI in predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Predictive Maintenance Proof of Value vs Proof of Concept - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 18 Oct 2023 11:24:14 +0000

For this session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, to discuss the differences between a proof of concept and value for predictive maintenance projects.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Engineering and sustainability - with Engineers Without Borders - Part Three

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 11 Oct 2023 16:52:16 +0000

For the third and final part of this series, Emma Crichton and Jonathan Truslove from Engineers Without Borders UK join us to discuss the role engineering plays in ensuring humanity and the planet thrives.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learn more about Engineers Without Borders:

https://www.ewb-uk.org/

Engineering and sustainability - with Engineers Without Borders - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 04 Oct 2023 10:51:19 +0000

For part two of this series, Emma Crichton and Jonathan Truslove from Engineers Without Borders UK join us to discuss the role engineering plays in ensuring humanity and the planet thrives.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learn more about Engineers Without Borders:

https://www.ewb-uk.org/

Engineering and sustainability - with Engineers Without Borders - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 27 Sep 2023 15:51:53 +0000

For part one of this series, Emma Crichton and Jonathan Truslove from Engineers Without Borders UK join us to discuss the role engineering plays in ensuring humanity and the planet thrives.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learn more about Engineers Without Borders:

https://www.ewb-uk.org/

Deep dive - Predictive Maintenance in the Food and Beverage industry

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 25 Sep 2023 12:54:08 +0000

For this episode, Kelli Case and Emily Johnson discuss the ins and outs of predictive maintenance in the food and beverage industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Kelli Case:

https://www.linkedin.com/in/anshill

Reimagining digital transformation - With Nick Ford - Part Three

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 20 Sep 2023 17:15:06 +0000

For the third and final part of this series, we were joined by Nick Ford, Chief Growth Officer for Mendix, to reimagine digital transformation in 2023 and beyond.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nick Ford:

https://www.linkedin.com/in/nick-f-4856a19

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Reimagining digital transformation - With Nick Ford - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 13 Sep 2023 12:44:10 +0000

For part two of this series, we were joined by Nick Ford, Chief Growth Officer for Mendix, to reimagine digital transformation in 2023 and beyond.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nick Ford

https://www.linkedin.com/in/nick-f-4856a19

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Reimagining digital transformation - With Nick Ford - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 04 Sep 2023 12:42:47 +0000

For part one of this series, we were joined by Nick Ford, Chief Growth Officer for Mendix, to reimagine digital transformation in 2023 and beyond.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nick Ford

https://www.linkedin.com/in/nick-f-4856a19

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

The truth about predictive maintenance - With Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 31 Aug 2023 09:06:42 +0000

For this session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Q & A with a maintenance expert - Interview with James Bond - Part three

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 29 Aug 2023 10:54:12 +0000

For the third and final episode in this three part series we're joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Q & A with a maintenance expert - Interview with James Bond - Part two

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 22 Aug 2023 10:49:03 +0000

For the second episode in this three part series we're joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Q & A with a maintenance expert - Interview with James Bond - Part one

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 17 Aug 2023 12:10:21 +0000

For this three part series we're joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Senseye Soundbites - Episode One - featuring Alex Hill

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 15 Aug 2023 11:02:40 +0000

For this episode, we have compiled our favourite soundbites from previous Trend Detection episodes featuring Alex Hill, Global Head of Business Development for Senseye Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

IoT Time - with Peter Schopf

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 10 Aug 2023 13:17:19 +0000

For this session, we were joined by Peter Schopf, a digital transformation expert who also works for Siemens to discuss all things IoT.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Peter Schopf:

https://www.linkedin.com/in/peter-schopf/

Trend Detection - Harvesting value from your Machine Data - with Chris Smith and Johnathan Bonner

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 04 Aug 2023 08:00:17 +0000

For this session, we were joined by Chris Smith, Implementation Lead and Johnathan Bonner, Head of Solution Engineering for Senseye Predictive Maintenance, to discuss: "Harvesting value from your Machine Data."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Overcoming the key challenges in IIoT - with Rob Russell and Richard Jeffers - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 02 Aug 2023 16:34:40 +0000

For this 2 part series looking at "Overcoming the key challenges in IIoT" we're joined by Rob Russell, Head of Predictive Maintenance Strategy and Delivery at Siemens and Richard Jeffers, Founder and Managing Director at RS Industria.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Rob Russell:

https://www.linkedin.com/in/robertbrussell/

Connect with Richard Jeffers:

https://www.linkedin.com/in/richard-jeffers-2860a08/

Overcoming the key challenges in IIoT - with Rob Russell and Richard Jeffers - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 26 Jul 2023 08:00:09 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Rob Russell:

https://www.linkedin.com/in/robertbrussell/

Connect with Richard Jeffers:

https://www.linkedin.com/in/richard-jeffers-2860a08/

Predictive maintenance at Siemens - with Anja Adling - Part Three

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 20 Jul 2023 18:41:47 +0000

For this 3 part series deep diving into predictive maintenance at Siemens, we're joined by Anja Adling, Head of Portfolio Management and Development of Analytics Services at Siemens.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Anja Adling:

https://www.linkedin.com/in/anja-adling//

Trend Detection - Resistance to predictive maintenance scalability - with Chris Garrison

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 18 Jul 2023 16:03:32 +0000

For this episode, we're joined by Chris Garrison, Application Services Engineer for Senseye Predictive Maintenance to discuss why there is sometimes a resistance to scaling predictive maintenance across an organization.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Chris Garrison

https://www.linkedin.com/in/chris-j-garrison

Predictive maintenance at Siemens - with Anja Adling - Part Two

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 14 Jul 2023 14:18:53 +0000

For this 3 part series deep diving into predictive maintenance at Siemens, we're joined by Anja Adling, Head of Portfolio Management and Development of Analytics Services at Siemens.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Anja Adling:

https://www.linkedin.com/in/anja-adling//

Predictive maintenance at Siemens - with Anja Adling - Part One

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 06 Jul 2023 13:11:16 +0000

For this 3 part series deep diving into predictive maintenance at Siemens, we're joined by Anja Adling, Head of Portfolio Management and Development of Analytics Services at Siemens.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Anja Adling:

https://www.linkedin.com/in/anja-adling//

How ready are major manufacturers for predictive maintenance at scale? - with Rob Russell

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 03 Jul 2023 16:20:01 +0000

At this live session at the Smart Factory Expo in June, Rob Russell, Head of Predictive Maintenance Strategy and Delivery at Siemens, reveals the key findings from our "Readiness for Predictive Maintenance at Scale" report.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

And download the report in full here

Connect with Rob Russell:

https://www.linkedin.com/in/robertbrussell/

Trend Detection Live - Leveraging existing data for predictive maintenance success

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 28 Jun 2023 11:00:44 +0000

For this live session, we were joined by David Peterson, a Pre Sales Engineer for Senseye Predictive Maintenance, to discuss: "Leveraging existing data for predictive maintenance success."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Trend Detection Live! – Building a business case for predictive maintenance - with Alex Hill

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 21 Jun 2023 09:17:02 +0000

For this live session, we were joined by Alex Hill, Global Head of Business Development for Senseye Predictive Maintenance, to discuss: "Building a business case for predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Live from Smart Factory Expo - How to eliminate unplanned downtime - with Dr Simon Kampa

siemensfm.communications@siemens.com (Siemens.FM team) — Mon, 19 Jun 2023 08:44:45 +0000

At this live session at the Smart Factory in June, Dr Simon Kampa, Global Head of Senseye Predictive Maintenance at Siemens, discusses "How to eliminate unplanned downtime."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Simon Kampa:

https://www.linkedin.com/in/simonkampa

Lessons from the military into the maintenance/manufacturing world - with Corey Dickens - part three

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 14 Jun 2023 13:12:14 +0000

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, who is the global leader in intelligent asset management solutions.

This is the third and final episode in this series, where we dive into some of the lessons he has taken from the military into the maintenance and manufacturing spaces.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey Dickens:

https://www.linkedin.com/in/coreydickens/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Lessons from the military into the maintenance/manufacturing world - with Corey Dickens - part two

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 09 Jun 2023 09:27:24 +0000

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, who is the global leader in intelligent asset management solutions.

This is the second episode in this series, where we dive into some of the lessons he has taken from the military into the maintenance and manufacturing spaces.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey Dickens:

https://www.linkedin.com/in/coreydickens/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Trend Detection Live! - The truth about predictive maintenance - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 07 Jun 2023 21:34:56 +0000

For this live session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Lessons from the military into the maintenance/manufacturing world - with Corey Dickens - part one

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 02 Jun 2023 12:23:49 +0000

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, who is the global leader in intelligent asset management solutions.

For this first episode in this series, we dive into some of the lessons he has taken from the military into the maintenance and manufacturing spaces.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey Dickens:

https://www.linkedin.com/in/coreydickens/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

The power of predictive maintenance - a conversation with Dragan Trivanovic at Mercer Celgar

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 31 May 2023 16:15:38 +0000

In this episode, we're joined by Dragan Trivanovic, Asset Condition Manager at Mercer Celgar, one of the world’s largest producers in the pulp and paper industry.

During our conversation, we discussed the challenges they faced monitoring their assets, why predictive maintenance helped to solve these issues and the reasons for choosing Senseye for helping to achieve their business goals.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Predictive maintenance in the metals and mining industry - with Alex Hill

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 23 May 2023 14:26:17 +0000

For this session, we were joined by Alex Hill, Global Head of Business Development, Senseye Predictive Maintenance.

For this first episode in our industry focus series, we dive into how predictive maintenance is helping metals and mining manufacturers to create a competitive advantage in their market through IoT and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Predictive maintenance in the food and beverage industry - with Alex Hill

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 18 May 2023 09:11:16 +0000

For this session, we were joined by Alex Hill, Global Head of Business Development, Senseye Predictive Maintenance.

For this first episode in our industry focus series, we dive into how predictive maintenance is helping food and beverage manufacturers to create a competitive advantage in their market through IoT and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Predictive maintenance in the automotive industry - with Alex Hill

siemensfm.communications@siemens.com (Siemens.FM team) — Thu, 11 May 2023 13:09:42 +0000

For this session, we were joined by Alex Hill, Global Head of Business Development, Senseye Predictive Maintenance.

For this first episode in our industry focus series, we dive into how predictive maintenance is helping automotive manufacturers to create a competitive advantage in their market through IoT and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

How to avoid PdM project failure (revisited.) - with Dr Chris Smith

siemensfm.communications@siemens.com (Siemens.FM team) — Fri, 05 May 2023 10:11:34 +0000

For this session, we were joined by Dr Chris Smith, Implementation Lead, Senseye Predictive Maintenance, who took part in our first ever episode of Trend Detection Live.

For this special episode we revisited the topic of "How to avoid PdM project failure" which we discussed in our earlier conversation.

Please subscribe via your selected podcast provider to be notified about future episodes.

Connect with Chris Smith:

https://www.linkedin.com/in/chris-smith-97808886/

Connect with Niall Sullivan

https://www.linkedin.com/in/niall-sullivan/

Trend Detection Live! - The truth about predictive maintenance - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 25 Apr 2023 16:11:45 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan

https://www.linkedin.com/in/niall-sullivan/

Trend Detection Live! – Predictive maintenance in the real world - with Rob Russell

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 19 Apr 2023 08:00:48 +0000

For this live session, we were joined by Rob Russell, Head of Predictive Maintenance Strategy & Delivery, Senseye Predictive Maintenance, to discuss: "Predictive maintenance in the real world."

Please subscribe via your selected podcast provider to be notified about future episodes.

Trend Detection Live! - The truth about predictive maintenance - with Nat Ford

siemensfm.communications@siemens.com (Siemens.FM team) — Tue, 11 Apr 2023 09:03:01 +0000

Please subscribe via your selected podcast provider to be notified about future episodes.

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan

https://www.linkedin.com/in/niall-sullivan/

Trend Detection Podcast - Welcome to the Siemens Podcast Network

siemensfm.communications@siemens.com (Siemens.FM team) — Wed, 05 Apr 2023 16:01:05 +0000

Hello and welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

This is our 1st episode on the Siemens podcast network, where you can listen to insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.

Show notes

Senseye Predictive Maintenance podcast archive: https://podcasters.spotify.com/pod/show/trend-detection-senseye