エピソード

  • 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
    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
    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
  • Unlock the Power of Data- Digital Strategies to Accelerate Manufacturing Growth with Brightly
    2025/06/08
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.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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    54 分
  • What Can We Do Differently to Scale Predictive Maintenance? - with Nick Leeder
    2025/06/04
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.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
  • Key Lessons from PdM Success in Food & Beverage - a panel discussion
    2025/05/28
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.What you’ll learn in this episode: Join us as we explore how predictive maintenance (PdM) is transforming the food and beverage industry—with a special focus on the Middle East.Why PdM is becoming essential for F&B manufacturers to stay competitive, improve uptime, reduce waste, and drive sustainability.How the Middle East’s unique challenges—like water scarcity, reliance on global OEMs, and workforce turnover—make PdM a strategic necessity.What a successful PdM rollout looks like, including a five-step methodology (Scope, Design, Deploy, Operate, Refine) that guides you from problem definition to scale.Real-world stories of ROI, including how a global pet nutrition brand and a European dairy achieved fast, measurable wins with Senseye PdM.What sets Senseye and Siemens apart, from AI-powered insights and multilingual support to full-stack, sensor-to-cloud solutions backed by local experts.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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    40 分
  • How to start a predictive maintenance project- with Tom Jacques
    2025/05/22
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.What you’ll learn in this episode of Trend Detection:Why starting with the business problem—not the tech—is crucial for predictive maintenance successThe key differences between predictive maintenance and condition monitoring—and why it mattersHow to build a scalable PdM roadmap by starting small, proving value, and selecting the right assetsCommon misconceptions and roadblocks that can derail projects before they begin—and how to avoid themWhy cross-functional collaboration and on-site insight make all the difference when launching a PdM initiativeYou 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
  • Scaling Smarter: How BlueScope Steel Took Senseye Predictive Maintenance Global
    2025/05/21
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.In this episode you will learn about:Global Rollout Strategy: BlueScope Steel shares how they scaled predictive maintenance across multiple international sites using Senseye, starting with a successful pilot in Australia and expanding to New Zealand, Thailand, and the US.Strong Executive Backing: From day one, the predictive maintenance initiative was backed by full executive support, with the goal of driving asset intelligence and reducing unscheduled delays across all manufacturing plants.Hands-on Leadership & Local Empowerment: Chris Wonson highlights the importance of staying hands-on and embedding predictive maintenance into local teams through tailored training initiatives like “Senseye School.”Overcoming Data & Cultural Challenges: The team discusses how they tackled inconsistent data, different infrastructures, and varying plant cultures through collaboration, standardization, and iterative learning.Measurable Business Impact: Predictive maintenance has delivered clear benefits, including increased equipment uptime, reduced maintenance costs, and improved plant understanding—proving the value of the initiative and fueling momentum for global expansion.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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    40 分