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  • Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner

    Navigating Predictive Maintenance in the Heavy Industries - with Johnathan Bonner
    2025/08/20
    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 crucial in heavy industry environments, and how it differs from traditional maintenance approaches - from preventing catastrophic failures to optimizing machine performance• The real value of existing data in heavy industrial settings, and why organizations often underestimate what they already have while overestimating what they need• How predictive maintenance directly impacts workplace safety in heavy industry, with real examples of how monitoring and early detection can prevent dangerous situations• The rapid return on investment (ROI) potential in heavy industry applications, including examples of companies achieving ROI within weeks and saving millions through single preventive actions• The role of AI and copilot technology in democratizing maintenance knowledge, breaking down language barriers, and preserving crucial expert knowledge as experienced workers retire. 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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    41 分
  • Spicing Up Innovation: Predictive Maintenance at Kotanyi

    Spicing Up Innovation: Predictive Maintenance at Kotanyi
    2025/08/12
    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 covers:Why long-standing manufacturers like Kotányi are embracing digital transformation—and what it takes to turn tradition into innovation with predictive maintenance.How starting with a single bottleneck machine helped Kotányi reduce downtime, prove value fast, and lay the foundation for future AI-driven improvements.Why success isn’t just about installing new tech—but about aligning with business goals, involving shopfloor teams, and making insights actionable.The critical importance of choosing the right partner—offering end-to-end solutions, domain expertise, and a collaborative approach that fits existing operations.Lessons learned from the frontlines: Avoiding change management pitfalls, breaking down silos, and scaling predictive maintenance with strategy, simplicity, and speed.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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    15 分
  • Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - with Richard Ella

    Cloud + On-Premise: Unlocking Predictive Maintenance at Scale - with Richard Ella
    2025/08/06
    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 episode, you will learn:• Why combining both on-premise and cloud solutions creates more value than choosing just one approach• How on-premise systems excel at mission-critical control and high-speed analytics while cloud enables scalability and long-term analysis• The key security considerations when transitioning from operational technology (OT) to information technology (IT)• Real-world examples of hybrid approaches in predictive maintenance, including vibration monitoring and process data analysis• Why future-proofing your operations requires flexibility between on-premise and cloud solutions rather than a rigid single approachYou 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
  • AI Without the Hype: A Practical Guide for Mid-Size Manufacturers - with Nick Leeder

    AI Without the Hype: A Practical Guide for Mid-Size Manufacturers - with Nick Leeder
    2025/07/30
    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 it’s time to move beyond the AI buzzwords—and how to focus on solving real industrial problems with technology that delivers value.How starting small with predictive maintenance or AI projects can build trust, prove ROI, and create momentum for wider adoption.Why simplicity and usability matter more than complex data science—and how making insights accessible drives real operational impact.The essential role of high-quality, contextualized data in the success (or failure) of any AI-driven initiative.How to avoid common pitfalls by linking AI projects to business KPIs, building scalable plans, and being honest about what’s working and what’s not.Real-world advice for industrial leaders on scaling AI and predictive maintenance across global operations—without getting lost in the innovation theatre.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
  • New Zealand Steel Success Case Deep Dive - with Stewart McVinnie

    New Zealand Steel Success Case Deep Dive - with Stewart McVinnie
    2025/07/28
    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 episode: Learn how New Zealand Steel, as the country's only steel maker, implemented predictive maintenance technology to enhance their unique iron sand-to-steel manufacturing processDiscover how a strategic pilot program and robust data foundation helped build trust and drive successful adoption of predictive maintenance across the organizationUnderstand how early detection of equipment issues, like loose gearbox mounting bolts, helped avoid 12 hours of critical downtime and potential catastrophic failuresExplore how automation and standardization of configurations helped scale the implementation from 300 to a target of 3,000-5,000 assets while maintaining qualityLearn about the multiple benefits beyond just downtime prevention, including quality improvements, yield optimization, and how proper data governance enables future digital transformation initiatives.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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    36 分
  • How predictive maintenance can enable digital transformation - with Tom Jacques

    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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    33 分
  • Connectivity – Bridging the OT-IT Gap for SMEs with Dominik Brenner

    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

    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