Episodes

  • The evolution of maintenance - with Richard Jeffers

    The evolution of maintenance - with Richard Jeffers
    Oct 8 2024
    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.For this session, we discussed the evolution of maintenance with Richard Jeffers. We cover:Key components of an effective maintenance strategy were highlighted, emphasizing the importance of a proactive and data-driven approach.Challenging technical issues and insights into the innovative solutions used to resolve them.The impact of predictive maintenance on overall efficiency was explored, along with how advancements in IoT and AI are transforming maintenance practices.Current trends and future directions in the maintenance industry, including how the role of maintenance professionals is expected to evolve over the next decade.Follow Richard Jeffers on LinkedInLearn more about RS: Maintenance Solutions | RSYou 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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    31 mins
  • Cautionary tales of predictive maintenance - with Dr Natalie Kurgan

    Cautionary tales of predictive maintenance - with Dr Natalie Kurgan
    Oct 4 2024
    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.For this session, we discussed the topic of Cautionary tales of predictive maintenance - with Dr Natalie Kurgan. We cover:1. Build the Right FoundationDiscover why setting up the right infrastructure is crucial before implementing any predictive maintenance (PDM) solution. Without it, success is a struggle.2. Clear Goals Drive SuccessLearn how defining clear business objectives and aligning them with your PDM solution can deliver real, measurable value.3. Start Simple, Scale FastGet practical tips on why starting with simpler assets like motors helps you scale effectively to more complex equipment over time.4. Collaboration is KeyUnderstand how involving and educating your team at every stage of implementation is essential for maximizing the benefits of PDM.5. Bust Predictive Maintenance MythsBreak through the marketing hype! Learn what PDM can (and can’t) do— it’s not about predicting failures, but ensuring timely, effective maintenance.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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    35 mins
  • US Webinar: The 5 phases of a successful PdM deployment

    US Webinar: The 5 phases of a successful PdM deployment
    Oct 2 2024
    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 we share a tried and true methodology to implement successful and scalable PdM projects using our industry-leading Senseye Knowledge Platform. We will cover the five phases crucial to a successful deployment.We cover: Scope: Discovery, putting together a plan, defining success.Design: Creating a detailed project design and machine selection.Deploy: Set up and technical implementation.Operate: Effective usage of Senseye, learning and tracking success.Refine: Gathering and using feedback
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    41 mins
  • Bringing the engineering community together - with Thomas Flude

    Bringing the engineering community together - with Thomas Flude
    Sep 27 2024
    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. For this session, we discussed the topic of Bringing the engineering community together - with Thomas Flude. This episode covers: Building an Industrial Manufacturing Community: The episode explores how the guest, Tom and his business partner are creating an industrial manufacturing community through their startup, Engineers Insight. They discuss the unique aspects of this community and its purpose in the industry.Challenges in Engineering Knowledge Retention: The conversation highlights the growing issue of knowledge gaps in engineering, particularly as experienced engineers retire without passing on their expertise to the next generation. The episode discusses the importance of addressing this gap.The Role of Feedback in Product Development: Tom emphasizes the significance of continuous feedback from users, which has shaped Engineers Insight from a simple marketing tool into a comprehensive resource platform. This process of user-driven development is a central theme.Engaging the Next Generation of Engineers: The podcast delves into strategies for connecting with and inspiring the next generation of engineers, including integrating educational institutions into the platform and addressing the generational shift in expectations from young engineers entering the field.The Impact of AI and Technology in Manufacturing: The discussion touches on the role of AI and other technologies in the manufacturing sectorYou 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 mins
  • Readiness for predictive maintenance in Japan - with Taku Shigihara

    Readiness for predictive maintenance in Japan - with Taku Shigihara
    Sep 24 2024
    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. For this session, we discussed the topic of Readiness for predictive maintenance in Japan - with Taku Shigihara.This episode covers:Trends and Adoption: Growing interest in predictive maintenance in Japan, driven by efficiency needs and supported by AI and IoT investments.Cultural and Regulatory Impact: Japan’s strong quality focus and stringent regulations push adoption, but traditional practices and cautious decision-making can slow progress.Benefits and Innovations: Companies can expect cost savings and efficiency gains, with emerging sector-specific solutions and AI-driven analytics tailored for the Japanese market.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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    35 mins
  • Improving safety with predictive maintenance - with Tom Jacques

    Improving safety with predictive maintenance - with Tom Jacques
    Sep 20 2024
    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. For this session, we discussed the topic of Improving safety with predictive maintenance - with Tom Jacques. This episode covers: How Predictive Maintenance Enhances Safety: Discover how predictive maintenance can prevent equipment failures and reduce incidents, leading to safer industrial and operational environments.The Cost and Industry Impact: Learn about the cost-effectiveness of predictive maintenance and why it’s especially crucial in high-risk industries like manufacturing, aviation, and energy.Workforce and Compliance Considerations: Understand how predictive maintenance affects workforce roles, training, and compliance with safety regulations, contributing to overall job safety.Future Trends and Implementation Strategies: Explore upcoming innovations in predictive maintenance and get practical advice on how to begin implementing these strategies to improve safety in 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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    26 mins
  • Flowing Forward: Digital Transformation in the Water Industry - with Steve Hanslow

    Flowing Forward: Digital Transformation in the Water Industry - with Steve Hanslow
    Sep 17 2024
    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. For this session, we discussed the topic of Flowing Forward: Digital Transformation in the Water Industry. Key takeaways:Broad Overview: We explore the concept of digital transformation in the water industry, an area often overlooked but crucial for modernizing essential services.Challenges & Scale: Discover the scale of the water industry's operations, including the delivery and treatment of billions of liters of water daily, and the extensive network of infrastructure that supports these processes.The Need for Change: Understand the necessity of digital transformation in an industry faced with aging infrastructure and the demand for increased efficiency and innovation.Learning Across Industries: How lessons from the water sector's digital shift can be applied to other industries and what all sectors can learn from these advancements.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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    38 mins
  • Transforming Predictive Maintenance by combining Data, People, and Generative AI

    Transforming Predictive Maintenance by combining Data, People, and Generative AI
    Sep 13 2024
    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 with Alex Hill, discover how our cloud-based machine learning platform has already revolutionized global maintenance, delivering millions in annual savings.With the integration of Generative AI, a new era of Asset Intelligence unfolds, driving sustainability, efficiency, and unprecedented savings.Learn how this innovative technology fosters knowledge sharing and impactful conversations among users, AI systems, and maintenance experts. Elevate your maintenance strategy and embrace the future of Predictive Maintenance with Siemens.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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    50 mins