『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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  • Unlocking SME Integration- with Konstantin Kobel

    Unlocking SME Integration- with Konstantin Kobel
    2025/06/17
    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.This episode covers: Why integration is essential for SME competitivenessReal-world ROI: saving 9 man-days per warranty claimCommon challenges and how to overcome themIntegration’s surprising impact on cybersecurityHow to scale with confidence and stay future-ready with AI and predictive maintenance toolYou 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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    28 分
  • Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part Two

    Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part Two
    2025/06/13
    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 part one of this episode, you will learn about:How Senseye works with your existing setup Discover why Senseye is vendor-agnostic, how it integrates with any PLC or database (even email-based CSVs!), and how it builds on your existing infrastructure—no rip-and-replace required.The power of AI + human expertise Explore how AI doesn’t replace people—it augments them. Senseye automates routine monitoring so engineers can focus on solving the truly complex problems, with results easily shared from shop floor to boardroom.Capturing tribal knowledge at scale Find out how Senseye uses large language models to capture, preserve, and share expertise from veteran engineers—ensuring valuable maintenance knowledge isn’t lost as teams evolve or retire.Scaling predictive maintenance globally Hear how real customers like BlueScope Steel are monitoring over 15,000 machines in real-time—proving Senseye can deliver massive scale, fast ROI, and measurable business outcomes.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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    21 分
  • Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part One

    Cultural Adoption of AI PdM & the Power of Strategic Partnerships - a Panel Discussion - Part One
    2025/06/11
    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 part one of this episode, you will learn about:How AI is transforming predictive maintenance: Learn how AI-driven solutions like Senseye make predictive maintenance scalable—from thousands of machines at enterprise level down to individual components—without the need for complex modeling or manual data input.Making PdM accessible for all business sizes: Discover how small to mid-sized enterprises (like those in New Zealand) can start with as few as 50 machines and still achieve strong ROI within 3–6 months.From data to decisions—without new sensors: Understand how existing automation data (like current, torque, or timing from PLCs) can be used for condition monitoring, often without needing to install new instrumentation.Preserving institutional knowledge with AI: Hear how the system ingests everything from manuals to repair photos and videos, helping capture and share expert knowledge across sites to support the next generation of maintainers.A practical, people-first approach to AI: Explore how Senseye’s philosophy prioritizes augmenting human roles, integrating with current systems, and delivering real-world value—not replacing people, but empowering them with better tools.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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    22 分

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