『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-maintenanceSiemens AG
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  • The Truth About Predictive Maintenance: Copilot special - with Nat Ford
    2025/07/14
    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.How everyday frustrations—like buying insurance—mirror the complexity faced in industrial environments, and why even small simplifications can have a big impact.What copilots actually are, and how they help guide users through complex processes using natural, conversational language.Why tools like Adobe Copilot are game-changers, and how their capabilities are being mirrored in industrial copilots like Senseye’s.How interacting with AI doesn’t require perfect prompts—copilots are built to iterate with you and improve results over time.How engineers and operators can use copilots to access insights from data instantly—without building dashboards or learning query languages.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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    44 分
  • More Than Support: Customer Success as a Strategic PdM Ally - with Tim Hunt
    2025/07/10
    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’ll learn in this episode:Why customer success is more than just support—it's about enabling long-term predictive maintenance success.How Tim’s maintenance background gives him instant credibility and practical impact with customers.The role of early wins and internal champions in scaling predictive maintenance across sites.How Senseye Copilot captures tribal knowledge and supports a retiring workforce.Common pitfalls in PdM adoption—and how to avoid them through culture, communication, and collaboration.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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    34 分
  • Agentic AI and the Future of Predictive Maintenance - with James Loach
    2025/07/08
    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 Agentic AI Really Means: Discover how Agentic AI differs from traditional and generative AI, and why it's best understood as a digital colleague that can take action, not just provide answers.The Role of Agentic AI in Predictive Maintenance: Learn how technologies like Agentic AI can enhance Senseye’s capabilities—making predictive maintenance systems smarter, more autonomous, and more helpful for maintenance teams.Real-World Maintenance Use Cases: Hear practical examples of how AI agents can support maintenance tasks—from spotting problems and synthesizing information, to optimizing strategies and even configuring systems.The Future of AI Agents Working Together: Get a glimpse into what’s ahead as AI agents from different systems begin to interact, share data, and collaborate across industrial environments.Trust, Teamwork, and the Human Factor: Understand how AI in maintenance isn't about replacing jobs, but augmenting human expertise—helping teams work more efficiently while still relying on their critical on-the-ground knowledge.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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    37 分

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