Episodi

  • Industrial AI Beyond the Hype: Context, Reasoning and Autonomous Action - with James Loach

    Industrial AI Beyond the Hype: Context, Reasoning and Autonomous Action - with James Loach
    Aug 20 2026
    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 James Loach, Head of Research for Senseye Predictive Maintenance at Siemens, to explore what industrial AI means in practice and how it is changing the future of maintenance. James explains how statistical systems, machine learning and generative AI can work together to monitor assets at scale, investigate potential problems and provide more prescriptive guidance to maintenance teams. He also discusses why machine context, maintenance history and human expertise will become increasingly important as AI models grow more capable.In this episode, you’ll learn:What industrial AI means beyond the marketing terminologyHow machine learning and generative AI work together at scaleWhy context is critical for improving AI-generated insightsHow agentic AI could support more prescriptive maintenance decisionsWhy the future of maintenance could become increasingly autonomousYou 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
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    32 min
  • From Insight to Action: Connecting Predictive Maintenance and CMMS - with Chris Smith

    From Insight to Action: Connecting Predictive Maintenance and CMMS - with Chris Smith
    Aug 13 2026
    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, Niall Sullivan is joined by Chris Smith, Head of Operations for Senseye Predictive Maintenance, to explore the relationship between predictive maintenance and computerized maintenance management systems, or CMMS.Chris explains why organizations should consider establishing value and learning how predictive maintenance fits within their operations before fully integrating it into existing workflows. He also discusses how CMMS data can provide valuable context, reduce manual investigation and help maintenance teams focus their attention on the issues that require action.In this episode, you’ll learn:When to integrate predictive maintenance with your CMMSHow CMMS data adds context and accelerates decision-makingWhy trust and ownership matter more than technology aloneHow to turn predictive insights into maintenance actionWhy standardised integrations still require local flexibilityYou 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
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    32 min
  • Managed Services: When Customers Can't Do PdM Alone - with Todd Martin

    Managed Services: When Customers Can't Do PdM Alone - with Todd Martin
    Aug 5 2026
    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 speak with Todd Martin from Siemens.Drawing on experience as both a long-term Senseye user and managed services specialist, Todd explains how expert support can help maintenance teams turn predictive insights into action, reduce administration and build trust in the approach.Listen to discover:What predictive maintenance managed services look like in practiceHow expert analysis and customer maintenance teams work togetherWhy technology alone is not enough to deliver resultsThe role of trust, feedback and internal championsWhy an open mind remains one of the most valuable maintenance skillsYou 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
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    26 min
  • Meet Eigen: The AI Agent Transforming Automation Engineering - with Michael Schrapp

    Meet Eigen: The AI Agent Transforming Automation Engineering - with Michael Schrapp
    Jul 30 2026
    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 the latest episode of the Trend Detection Podcast, we speak with Michael Schrapp, Director, Global Go-to-Market for Data & AI at Siemens, about the Eigen Engineering Agent and the connection between automation engineering, reliability and maintenance.In the episode, we explore:🔹 Why industrial AI needs domain and project context🔹 How integration with TIA Portal reduces manual translation and context loss🔹 How validated engineering can support reliability and maintainability🔹 The changing roles of skills, governance and accountability🔹 Why the engineer remains central to review and approvalYou 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
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    27 min
  • The Connectivity Reality Behind Predictive Maintenance - with Johnathan Bonner

    The Connectivity Reality Behind Predictive Maintenance - with Johnathan Bonner
    Jul 22 2026
    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 the latest episode of the Trend Detection podcast, we're joined by Johnathan Bonner, Head of Solutions Engineering for Senseye, to explore why connectivity is often the most underestimated part of a predictive maintenance deployment.In this episode We discuss:Why industrial connectivity is rarely as simple as “plug and play”How different machines, systems and communication protocols create complexityWhy IT, OT and cybersecurity teams need to be involved from the outsetHow connectivity and integration can account for much of the implementation effortWhy trying to reduce upfront costs can ultimately delay time to valueHow mapping your infrastructure and data sources can support predictive maintenance and future digitalization projectsYou 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
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    30 min
  • Winning with Siemens Operations Software and Coca Cola - live from Hannover Messe

    Winning with Siemens Operations Software and Coca Cola - live from Hannover Messe
    Jul 15 2026
    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 live episode of Trend Detection, Belen Brunet from Coca-Cola Europacific Partners joins Mark Hindsbo, Head of Operations Software at Siemens, to explore how manufacturers can turn operational complexity into opportunity. They discuss connecting IT and OT, combining trusted industrial data with AI, and using Senseye Predictive Maintenance to improve asset utilization, support maintenance teams and scale smarter operations.In this episode you will learn:How to turn operational complexity into a competitive advantageWhy trusted industrial data is the foundation for effective AIHow digital twins can help manufacturers design and optimize entire factoriesHow Senseye helps teams fix the right equipment at the right timeWhat it takes to scale predictive maintenance from production to logisticsYou 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
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    20 min
  • What Happens After the Sale — with Peter O'Hara | The Adoption Gap, Part 4

    What Happens After the Sale — with Peter O'Hara | The Adoption Gap, Part 4
    Jul 7 2026
    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 the closing episode of our 4-part series, we sat down with Peter O'Hara, a Customer Success Manager for Senseye who's spent close to a decade helping manufacturers actually adopt and scale predictive maintenance. We cover: → Why asset selection makes or breaks the first 90 days after go-live → What separates a real internal champion from someone who just has the time → How to turn resistors into advocates, often by solving the problem they actually have→ The KPIs that drive renewal and expansion (hint: downtime avoided is only part of it)→ Why Senseye at scale is beautifulIf you've missed Parts 1–3 with Richard Jeffers, Nat Ford, and Pontus Noren, now's the time to binge the full series:Listen to episode one: AI Is Ready. Are We? - with Richard Jeffers here.Listen to episode two: Why Change Management Makes or Breaks PdM — with Nat Ford hereListen to episode three: What Industrial AI Projects Get Wrong About Adoption — with Pontus Noren | Adoption Gap Part 3 hereYou 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
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    38 min
  • What Industrial AI Projects Get Wrong About Adoption — Pontus Noren | Adoption Gap Part 3

    What Industrial AI Projects Get Wrong About Adoption — Pontus Noren | Adoption Gap Part 3
    Jul 1 2026
    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 the third episode of our 4-part series, I sat down with Pontus Noren, founder of Ensemble AI, to unpack the patterns he's seen across industries —and why the same mistakes keep showing up in different factories.His perspective is especially valuable because it's from outside the Siemens world. The adoption gap isn't a PdM problem. It's an industrial AI problem.We cover: → The most common patterns behind failed industrial AI projects → Why "proof of concept" culture is one of the biggest blockers to scale → How misaligned KPIs create a gap between what AI delivers and what the business measures → What trust actually looks like in practice and how to build it incrementallyIf you missed Parts 1 and 2 you can listen below:Listen to episode one: AI Is Ready. Are We? - with Richard Jeffers here.Listen to episode two: Why Change Management Makes or Breaks PdM — with Nat Ford hereYou 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
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    32 min