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Trend Detection Podcast

Trend Detection Podcast

By: Siemens
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About this listen

 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
Episodes
  • The Rise of AI Agents in Manufacturing - with Lina Huertas

    The Rise of AI Agents in Manufacturing - with Lina Huertas
    Feb 25 2026
    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.For this episode we are joined by Lina Huertas, Industry Executive for Manufacturing at Microsoft UK.This is what you will learn:How generative AI, copilots, and agent‑based AI are reshaping digital manufacturing—not just accelerating tasks, but redefining entire processes, functions, and roles.What AI agents actually are, how they evolve from simple retrieval assistants to autonomous process owners, and what that means for shop‑floor, engineering, and back‑office work.Why human–AI collaboration is becoming a critical capability, and how jobs are shifting toward supervision, decision‑making, leadership, and strategic thinking rather than repetitive tasks.The key barriers to scaling AI in manufacturing, including data silos, fragmented IT landscapes, shadow IT, organizational structures, and the challenge of moving beyond pilots.What skills manufacturers—and individuals—need next, from learning how to learn and hands‑on AI literacy to leadership, critical thinking, and managing a workforce that includes AI agents.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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    35 mins
  • Beyond the AI Hype: What Actually Works in Manufacturing - with Nick Leeder

    Beyond the AI Hype: What Actually Works in Manufacturing - with Nick Leeder
    Feb 18 2026
    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.What you will learn in this episode:Why many industrial AI initiatives fail to move beyond pilots, despite heavy investment and executive attention.How AI hype and “fear of missing out” often lead companies to start with the technology rather than the business or process problem.Why process maturity, data relevance, and context are essential prerequisites before applying AI at scale.How to identify repeatable, scalable AI use cases—with predictive maintenance highlighted as a strong example.What to measure to prove success, including operational impact, financial value, and real improvements to frontline workers’ day‑to‑day work.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-maintenanceConnect with Nick on LinkedIn:https://www.linkedin.com/in/redeel/
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    38 mins
  • Applying AI to Predictive Maintenance at Scale: A Senseye Perspective

    Applying AI to Predictive Maintenance at Scale: A Senseye Perspective
    Feb 11 2026
    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 episode with David Humphrey, Director of Research, ARC Europe, we discuss:How predictive maintenance has evolved from scheduled inspections to data‑driven decision‑making using connected machine data.What Senseye Predictive Maintenance is, how it works as a cloud‑based analytics application, and where it fits within Siemens’ broader asset and maintenance portfolio.How machine learning and generative AI are used to detect abnormal asset behavior and translate complex analytics into actionable maintenance guidance.How historical machine data, maintenance records, and technical documentation are leveraged to speed diagnosis and reduce dependency on individual expert knowledge.Why scalability, usability, and organizational adoption are critical success factors for predictive maintenance programs operating at hundreds or thousands of assets.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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    23 mins
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