『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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  • Trend Detection Revisited - Bluescope Steel Success Case - with Chris Wonson

    Trend Detection Revisited - Bluescope Steel Success Case - with Chris Wonson
    2026/09/09
    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 week, Trend Detection revisits a standout episode from the archive.In this conversation, Chris Wonson shares the story behind the deployment of Senseye Predictive Maintenance at BlueScope Steel and explores how predictive maintenance was being applied across its operations.The episode covers:How Senseye Predictive Maintenance was deployed at BlueScope SteelA success case that helped avoid 24 hours of unplanned downtimeHow Senseye Copilot was supporting the way teams worked at the time of recordingPractical advice for manufacturers implementing predictive maintenanceThis archive episode provides a valuable customer perspective on scaling predictive maintenance and turning asset data into practical maintenance action.Find out more about how Senseye Predictive Maintenance can help manufacturers reduce unplanned downtime and improve maintenance efficiency across their plants by visiting: www.siemens.com/senseye-predictive-maintenancePlease note that this conversation was originally recorded and published previously. Some product details may have evolved since the original recording.
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    47 分
  • From Planned Shutdowns to Predictive Maintenance: Highland Pellets' AI Journey - with Andrew Rehm

    From Planned Shutdowns to Predictive Maintenance: Highland Pellets' AI Journey - with Andrew Rehm
    2026/09/01
    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 Andrew Rehm, Director of Reliability and Planning at Highland Pellets, to explore how predictive maintenance is transforming industrial operations.Andrew shares Highland Pellets' journey from traditional inspection-based maintenance to a more proactive, data-driven approach powered by AI. We discuss how the company increased plant uptime from 60% to 89%, uncovered critical issues before they became failures, and built trust in predictive maintenance across operations, maintenance, and reliability teams.The conversation goes beyond technology, covering change management, workforce adoption, maintenance planning, and why predictive maintenance is becoming a core part of Highland Pellets' long-term strategy.In this episode you will learn:Why predictive maintenance looks very different today than it did ten years agoHow Highland Pellets identified the right assets to monitor firstThe story behind a critical failure that was detected before it shut down productionMoving from scheduled inspections to condition-based maintenanceBuilding trust in AI-driven insights among maintenance teamsConnecting predictive maintenance with CMMS workflows and planning processesLessons learned from the first deployment and plans to scale furtherWhy the future of maintenance is data-driven, proactive, and predictiveYou 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
  • The Two Sides of Digitalization: Technology and Skills - A Special Episode

    The Two Sides of Digitalization: Technology and Skills - A Special Episode
    2026/08/25
    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, guest host Nienke Vergeer is joined by Vera Kaupmann, Global Marketing Manager for SITRAIN, to explore how industrial companies can keep workforce skills aligned with the accelerating pace of technological change.They discuss the growing skills and knowledge gap created as experienced employees retire, why traditional classroom training must be complemented by more flexible digital learning, and how continuous learning can become part of an organization’s culture rather than an occasional activity.The conversation also explores how digital learning can help organizations:Capture and transfer expertise before it is lostAccelerate onboarding for new employeesProvide consistent training across teamsFit learning into the working day through short, self-paced sessionsPrepare employees for emerging areas such as industrial AI, data and cybersecurity The episode also introduces SITRAIN access, Siemens’ digital learning platform for industrial training, including its subscription-based learning membership and free introductory learning content.Digital learning is not only your next competitive advantage, but it’s always at your fingertips – anytime, anywhere.Try it out for free with Freemium | SITRAIN access:https://sitrain.siemens.com/web/page/lex_auth_01452623641047040012
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    25 分
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