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Trend Detection Podcast

Trend Detection Podcast

De : 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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    Épisodes
    • 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 min
    • 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 min
    • Wireless Multisensors Meet Predictive Maintenance - with Niklas Frey

      Wireless Multisensors Meet Predictive Maintenance - with Niklas Frey
      Feb 4 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.This episode covers:How the SITRANS MS200 wireless multisensor measures vibration, temperature, and magnetic fields to enable condition monitoring on rotating and vibrating assets.Why retrofittable, battery-powered sensors are key to bringing predictive maintenance to assets that previously had no condition data.How the CC220 gateway integrates seamlessly with Senseye Predictive Maintenance, supporting both stand‑alone deployments and existing IT infrastructures via MQTT.What makes the solution highly flexible and scalable, from single gateways to plant‑wide sensor networks without complex IT overhead.Where the MS200 roadmap is heading, including configurable measurement cycles, on‑sensor KPI calculation, improved battery life, and expanded frequency ranges for future applications.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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      26 min
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