Trend Detection Podcast

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.

  1. AIot Time - with Peter Schopf

    1 天前

    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.This episode discusses: Evolving Conversations: Discover why "IoT Time" is expanding its focus to embrace the cutting edge of AI and Generative AI, and how the arrival of GPT-5 is reshaping the landscape of technological discussion.Beyond the Hype: Uncover the critical difference between true AI agents capable of complex problem-solving and the marketing buzz that often mislabels technology.The Power of GPT-5: Learn how the widespread accessibility of GPT-5 is poised to revolutionize strategic planning and problem-solving, making advanced reasoning available to a much broader audience.Smart AI Adoption: Get practical insights into a successful, phased approach for integrating AI into your organization, and find out why jumping straight to complex "agentic" projects might be a costly mistake.The Cost of Inaction: Hear a powerful call to action on why embracing AI now is non-negotiable, and how to navigate common internal hurdles like data security fears and managerial skepticism.Connect with Peter: https://www.linkedin.com/in/peter-schopf/

    33 分鐘
  2. Hands-On with AI: Bringing Senseye to the Classroom- A Panel Discussion

    3 天前

    Hands-On with AI: Bringing Senseye to the Classroom- 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.We are joined by Dr Aris Alexoulis from Manchester Metropolitan University and Jordan Walters and Steve Jones from Siemens to discuss:How Siemens’ Connected Curriculum equips students with real-world Industry 4.0 skills by integrating Senseye Predictive Maintenance into university teaching.The structure of the three-week pilot at MMU: from ingesting data to configuring anomalies, trends, and thresholds, giving students hands-on PdM experience.The role of Senseye Copilot in supporting learning—using natural language to explain alerts, provide context, and extend teaching beyond the classroom.The impact on students’ employability and career pathways, with predictive maintenance skills shaping projects and future opportunities.How academic feedback drives product improvements—such as simplifying derived measures—and helps refine training for both students and industry users.Next steps for the program: embedding the module at MMU, scaling to other universities, and building a distributed network of Festo labs for collaborative PdM monitoring.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

    36 分鐘
  3. Visualization – Turning Data into Decisions - with Vahid Baharvand

    8月28日

    Visualization – Turning Data into Decisions - with Vahid Baharvand

    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 Trend Detection, we sit down with Vahid Vahid Baharvand to explore how visualization tools are helping small and medium-sized enterprises (SMEs) turn complex data into clear, actionable insights. From real-time dashboards to predictive service assistance, we discuss how visualization streamlines operations, supports smarter decision-making, and drives measurable impact.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

    14 分鐘
  4. Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner

    8月20日

    Navigating Predictive Maintenance in the Heavy Industries - 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.• Why predictive maintenance is crucial in heavy industry environments, and how it differs from traditional maintenance approaches - from preventing catastrophic failures to optimizing machine performance• The real value of existing data in heavy industrial settings, and why organizations often underestimate what they already have while overestimating what they need• How predictive maintenance directly impacts workplace safety in heavy industry, with real examples of how monitoring and early detection can prevent dangerous situations• The rapid return on investment (ROI) potential in heavy industry applications, including examples of companies achieving ROI within weeks and saving millions through single preventive actions• The role of AI and copilot technology in democratizing maintenance knowledge, breaking down language barriers, and preserving crucial expert knowledge as experienced workers retire. 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

    41 分鐘
  5. Spicing Up Innovation: Predictive Maintenance at Kotanyi

    8月12日

    Spicing Up Innovation: Predictive Maintenance at Kotanyi

    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.This covers:Why long-standing manufacturers like Kotányi are embracing digital transformation—and what it takes to turn tradition into innovation with predictive maintenance.How starting with a single bottleneck machine helped Kotányi reduce downtime, prove value fast, and lay the foundation for future AI-driven improvements.Why success isn’t just about installing new tech—but about aligning with business goals, involving shopfloor teams, and making insights actionable.The critical importance of choosing the right partner—offering end-to-end solutions, domain expertise, and a collaborative approach that fits existing operations.Lessons learned from the frontlines: Avoiding change management pitfalls, breaking down silos, and scaling predictive maintenance with strategy, simplicity, and speed.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

    15 分鐘
  6. Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - with Richard Ella

    8月6日

    Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - 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, you will learn:• Why combining both on-premise and cloud solutions creates more value than choosing just one approach• How on-premise systems excel at mission-critical control and high-speed analytics while cloud enables scalability and long-term analysis• The key security considerations when transitioning from operational technology (OT) to information technology (IT)• Real-world examples of hybrid approaches in predictive maintenance, including vibration monitoring and process data analysis• Why future-proofing your operations requires flexibility between on-premise and cloud solutions rather than a rigid single approachYou 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

    37 分鐘
  7. AI Without the Hype: A Practical Guide for Mid-Size Manufacturers - with Nick Leeder

    7月30日

    AI Without the Hype: A Practical Guide for Mid-Size Manufacturers - 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.Why it’s time to move beyond the AI buzzwords—and how to focus on solving real industrial problems with technology that delivers value.How starting small with predictive maintenance or AI projects can build trust, prove ROI, and create momentum for wider adoption.Why simplicity and usability matter more than complex data science—and how making insights accessible drives real operational impact.The essential role of high-quality, contextualized data in the success (or failure) of any AI-driven initiative.How to avoid common pitfalls by linking AI projects to business KPIs, building scalable plans, and being honest about what’s working and what’s not.Real-world advice for industrial leaders on scaling AI and predictive maintenance across global operations—without getting lost in the innovation theatre.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

    40 分鐘
  8. New Zealand Steel Success Case Deep Dive - with Stewart McVinnie

    7月28日

    New Zealand Steel Success Case Deep Dive - with Stewart McVinnie

    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: Learn how New Zealand Steel, as the country's only steel maker, implemented predictive maintenance technology to enhance their unique iron sand-to-steel manufacturing processDiscover how a strategic pilot program and robust data foundation helped build trust and drive successful adoption of predictive maintenance across the organizationUnderstand how early detection of equipment issues, like loose gearbox mounting bolts, helped avoid 12 hours of critical downtime and potential catastrophic failuresExplore how automation and standardization of configurations helped scale the implementation from 300 to a target of 3,000-5,000 assets while maintaining qualityLearn about the multiple benefits beyond just downtime prevention, including quality improvements, yield optimization, and how proper data governance enables future digital transformation initiatives.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

    36 分鐘
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簡介

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.

資訊

  • 頻道
    Siemens
  • 創作者
    Siemens
  • 活躍年代
    2023年 - 2025年
  • 集數
    213
  • 年齡分級
    兒少適宜
  • 版權
    © Siemens AG
  • 節目網站
    Trend Detection Podcast

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