Trend Detection Podcast

Siemens
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. 6日前

    The Connectivity Reality Behind Predictive Maintenance - with Johnathan Bonner

    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

    The Connectivity Reality Behind Predictive Maintenance - with Johnathan Bonner

  2. 7月15日

    Winning with Siemens Operations Software and Coca Cola - live from Hannover Messe

    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

    Winning with Siemens Operations Software and Coca Cola - live from Hannover Messe

  3. 7月7日

    What Happens After the Sale — with Peter O'Hara | The Adoption Gap, Part 4

    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

    What Happens After the Sale — with Peter O'Hara | The Adoption Gap, Part 4

  4. 7月1日

    What Industrial AI Projects Get Wrong About Adoption — Pontus Noren | Adoption Gap Part 3

    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

    What Industrial AI Projects Get Wrong About Adoption — Pontus Noren | Adoption Gap Part 3

  5. 6月24日

    Why Change Management Makes or Breaks PdM — with Nat Ford | The Adoption Gap, Part 2

    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 second episode of our 4-part "The Adoption Gap" series, we sat down with Nat Ford from Siemens to unpack why change management isn't a workstream you bolt on at the end of a PdM project. It's the project itself.His take? If you need formal "change management" by the time you go live, something has already gone wrong.We cover: Why change management is often a sign the project wasn't designed properly in the first placeThe difference between managing change and designing change in from day oneHow the Hawthorne Effect applies to PdM adoption — and why paying attention to people matters more than any frameworkWhy predictive maintenance changes how people decide, not just what they doPrevious episodes in the seriesListen to episode one, AI Is Ready. Are We? - with Richard Jeffers here.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

    Why Change Management Makes or Breaks PdM — with Nat Ford | The Adoption Gap, Part 2

  6. 6月17日

    AI Is Ready. Are We? - with Richard Jeffers | The Adoption Gap - Part 1

    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 opening episode of The Adoption Gap, we're joined by independent asset management consultant Richard Jeffers to explore a simple but uncomfortable question:If predictive maintenance technology has been around for decades, why are so many organisations still struggling to make it work?Richard argues that the gap isn't in the algorithms, it's in the culture, data maturity, and leadership required to turn capability into results.What you'll learn in this episode:Why predictive maintenance is a way of life, not a technology deployment and what that distinction means in practiceWhere the real gap sits between what AI can do today and what most organisations are actually ready to do with itWhy being "data-led" requires far more than having data and what data maturity really looks like on the shop floorWhat separates the manufacturers who scale predictive maintenance from those who never get past the pilotHow leadership commitment and clear ownership determine whether PdM becomes embedded or abandonedYou 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 Richard on LinkedIn:https://www.linkedin.com/in/richard-jeffers-2860a08/Listen to episode 2, Why Change Management Makes or Breaks PdM — with Nat Ford here

    AI Is Ready. Are We? - with Richard Jeffers | The Adoption Gap - Part 1

  7. 6月16日

    The Adoption Gap: A 4-Part Special Series — Trailer

    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 special four-part series, we tackle the uncomfortable truth behind most predictive maintenance programmes: the technology works, it's the adoption that doesn't. Across four episodes, we hear from four experts, each with a different perspective on why industrial AI projects stall after the pilot, and what the organisations that succeed actually do differently.What you'll learn in this series:Why organisational readiness (not algorithm accuracy) is the real bottleneck for predictive maintenance, and what "being ready" actually looks like in practiceHow change management should be designed into a project from day one, not bolted on when adoption starts to stallThe most common patterns behind failed industrial AI projects, from pilot traps and misaligned KPIs to trust gaps that never get closedWhy asset selection and internal champions make or break the first 90 days after go-live, and what happens when either one is wrongHow to build momentum from early wins, turning resistors into advocates and scaling from one line to an entire plantThe real KPIs that drive renewal and expansion and why downtime avoided is only part of the pictureYou 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 Adoption Gap: A 4-Part Special Series — Trailer

  8. 6月11日

    Sustainability Actions for Mid-Size Manufacturers: Practical Starting Points - with Nick Leeder

    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 Nick Leeder to explore what sustainability really means for mid-sized manufacturers — and how moving beyond strategy into practical, measurable action can unlock both operational efficiency and improved profitability.What you’ll learn in this episode:Why sustainability must be treated as a core business initiative — with clear ownership, budget, and measurable outcomes, not just a strategy documentHow external pressures (regulation, supply chain requirements) and internal drivers (cost, competitiveness) are accelerating adoption for mid-sized manufacturersPractical starting points — using existing data like energy bills and focusing on simple, high-impact improvements such as reducing idle energy consumptionHow to build a business case by directly linking sustainability initiatives to financial outcomes, from cost savings to risk reductionThe biggest pitfalls to avoid — lack of governance, too many initiatives, and failure to embed sustainability into daily operations and decision-makingYou 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

    Sustainability Actions for Mid-Size Manufacturers: Practical Starting Points - with Nick Leeder
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番組について

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.

情報

  • チャンネル
    Siemens
  • クリエイター
    Siemens
  • 配信期間
    23年 - 26年
  • エピソード
    258
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © Siemens AG
  • 番組のWebサイト
    Trend Detection Podcast

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