Trend Detection Podcast

Siemens

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.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.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-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.

  1. AIoT Time - with Peter Schopf

    10 hr ago

    AIoT Time - with Peter Schopf

    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, we’re joined by Peter Schopf to unpack the latest industrial and AI trends coming out of Hannover Messe 26 — from the rise of humanoid robotics to the growing divide between operational and strategic AI, and why many organizations are still missing where the real value lies.What you’ll learn in this episode:What stood out at Hannover Messe — including the rise of humanoid (embodied) AI and the shift from hype to more tangible industrial use casesWhy IT/OT integration and industrial data access remain persistent challenges, despite years of investment and innovationPractical generative AI use cases on the shop floor — from documentation and troubleshooting to AI-powered assistants for operatorsWhy most organizations focus too heavily on operational AI — and are missing the much bigger opportunity at the strategic decision-making levelHow “strategic prompting” and better AI interaction can dramatically accelerate complex business decisions, and why context and experience matter more than technical skillYou 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

    31 min
  2. When a Small Vibration Signal Prevents a Major Failure - with Emily Trott

    26 May

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

    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 assetWhy predictive maintenance is not one alert → one fix, but a multi-step investigation involving both AI and human expertiseThe gap between traditional monitoring and predictive maintenance and why most failures are only detected when it’s already too lateHow combining Senseye insights with on-site expertise changes the outcome from reactive to controlled interventionWhy sharing success cases internally is key to driving adoption, scaling, and new use cases across sitesYou 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-maintenanceTo find out more about Bluescope Steel's approach to asset intelligence, please watch the video below:https://www.youtube.com/watch?v=0dnDST5B1V4

    26 min
  3. What Actually Works in Senseye Deployments - A Panel Discussion

    18 May

    What Actually Works in Senseye Deployments - A Panel Discussion

    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, 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 momentumHow data quality and context (not volume) determine success in predictive maintenanceWhy early wins are essential to drive trust, adoption, and scaling across teamsThe common pitfalls in implementations, from wrong failure assumptions to poor asset selectionHow successful deployments depend on combining AI with real-world expertise and customer ownershipYou 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

    41 min
  4. Data-driven manufacturing at Arca Continental: With Insights Hub and Senseye Predictive Maintenance

    12 May

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

    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, 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 casesWhy predictive maintenance success depends on strong cultural alignment and early digital maturity — not just technologyA real-world example delivering impact in days — saving 13 hours of downtime on a critical production assetHow Insights Hub provides a unified data foundation to connect use cases, systems, and workflows at scaleWhat’s next: expanding with AI, contextualized data, and prescriptive insights to drive continuous operational improvementYou 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

    13 min
  5. Digital Drivetrains & Predictive Maintenance: Turning Motion Data into Action - with Louis Mahlau

    6 May

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

    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, 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 operationsHow 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 systemsYou 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

    33 min
  6. Seeing the Invisible: From Strobe Lights to Modern Predictive Maintenance - with Richard Ella

    27 Apr

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

    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, 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 innovationsHow the strobe light was originally invented for maintenance and what it teaches us about “seeing” machines differentlyA simple, practical way to explain AI and Senseye without buzzwords or hypeHow AI mirrors the instincts of experienced plant operators by detecting subtle changes before failureWhy curiosity, trust, and change management matter more than the technology itselfHow early warnings become real value only when teams act on themYou 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

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

    22 Apr

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

    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, 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 projectHow proper scoping, asset selection, and data availability set projects up for successWhere projects commonly slow down or stall, including resource constraints and misaligned expectationsHow pilots transition into day‑to‑day operational useWhat creates real “aha moments” for maintenance teamsWhy trust is the key factor in getting teams to act on insightsHow Senseye Copilot supports decision‑making without replacing human judgementWhat separates pilots that scale successfully from those that remain stuck in PoVsYou 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-maintenanceConnect with Tom on LinkedIn here:https://www.linkedin.com/in/thomas-jacques-22655585/

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

    15 Apr

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

    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, 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.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

    26 min
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About

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.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.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-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.

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