『Trend Detection Podcast』のカバーアート

Trend Detection Podcast

Trend Detection Podcast

著者： Siemens
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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.Siemens AG
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  • The Adoption Gap: A 4-Part Special Series — Trailer

    The Adoption Gap: A 4-Part Special Series — Trailer
    2026/06/16
    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
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    1 分
  • Sustainability Actions for Mid-Size Manufacturers: Practical Starting Points - with Nick Leeder

    Sustainability Actions for Mid-Size Manufacturers: Practical Starting Points - with Nick Leeder
    2026/06/11
    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
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    30 分
  • AIoT Time - with Peter Schopf

    AIoT Time - with Peter Schopf
    2026/06/02
    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
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    31 分
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