エピソード

  • How predictive maintenance can enable digital transformation - with Tom Jacques
    2025/07/23
    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 the Gateway to Digital Transformation Discover how starting with predictive maintenance (PdM) helps organizations shift from reactive to proactive operations—building trust across departments and unlocking long-term digital value.How PdM Breaks Down Silos Across Teams and Technologies Learn how implementing PdM brings IT and OT together, fosters collaboration between operations, maintenance, and finance, and uncovers valuable insights from both new and existing data.Real-World Success Stories from Automotive and F&B Industries Hear examples of PdM in action—from saving over £200k at a stamping press to digitizing workflows and creating digital twins in global food and beverage plants.Scaling PdM Without Overhauling Everything Get practical advice on starting small, using existing infrastructure and sensor data, and building scalable, future-proof PdM strategies that don’t require massive upfront investment.Debunking Common Misconceptions About PdM Understand why digital transformation doesn’t need to be fully complete before starting PdM—and how this approach actually accelerates integration, ROI, and long-term growth.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
  • Connectivity – Bridging the OT-IT Gap for SMEs with Dominik Brenner
    2025/07/17
    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.Here is what you will learn from this episode:Understanding the foundation of digital transformation through connectivityHow to integrate machines of different ages and manufacturers into one systemPractical insights on reducing operational costs and improving efficiencyReal-world examples of predictive maintenance and data analyticsFlexible deployment options, from on-premise to cloud solutionsSecurity measures protecting your valuable industrial dataYou 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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    27 分
  • 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
  • Senseye: ¿Cómo la inteligencia artificial está revolucionando el mantenimiento predictivo con Edgar
    2025/07/03
    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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    1 時間
  • Driving Efficiency for SMEs- with Marco Saviano
    2025/06/26
    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:Why digital transformation is a cultural shift, not just a tech upgrade—and why that matters especially for SMEs.How SMEs can overcome resource and expertise challenges by working with the right partners.What predictive maintenance looks like for smaller manufacturers—and why it’s more accessible than ever.The crucial role of cross-functional collaboration, especially involving IT, to avoid project failure.How using data wisely goes beyond reducing downtime and can drive broader efficiency, sustainability, and business resilience.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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    39 分