Episodes

  • Maximizing drivetrain equipment with predictive maintenance

    Maximizing drivetrain equipment with predictive maintenance
    Sep 17 2025
    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.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
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    43 mins
  • Built on Data: How to Prepare Your Operations for Predictive Maintenance - with Peter O'Hara

    Built on Data: How to Prepare Your Operations for Predictive Maintenance - with Peter O'Hara
    Sep 10 2025
    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 explore why data is the single most important factor in the success of any predictive maintenance (PdM) strategy. You'll learn which types of data matter most, how to overcome common challenges like silos and poor quality, and why you don’t need perfect data to get started. Whether you're just beginning your PdM journey or looking to scale, this episode will help you build a strong, data-driven foundation for long-term reliability and ROI. 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
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    1 hr and 20 mins
  • AIot Time - with Peter Schopf

    AIot Time - with Peter Schopf
    Sep 5 2025
    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/
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    33 mins
  • Hands-On with AI: Bringing Senseye to the Classroom- A Panel Discussion

    Hands-On with AI: Bringing Senseye to the Classroom- A Panel Discussion
    Sep 4 2025
    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
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    36 mins
  • Visualization – Turning Data into Decisions - with Vahid Baharvand

    Visualization – Turning Data into Decisions - with Vahid Baharvand
    Aug 28 2025
    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
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    14 mins
  • Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner

    Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner
    Aug 20 2025
    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
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    41 mins
  • Spicing Up Innovation: Predictive Maintenance at Kotanyi

    Spicing Up Innovation: Predictive Maintenance at Kotanyi
    Aug 12 2025
    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
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    15 mins
  • Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - with Richard Ella

    Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - with Richard Ella
    Aug 6 2025
    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
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    37 mins