Trend Detection Podcast

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Trend Detection Podcast

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-maintenance

  1. The truth about predictive maintenance - with Nat Ford

    5일 전

    The truth about predictive maintenance - with Nat Ford

    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.Episode Summary:Predictive Maintenance Evolution: Understanding the progression from condition monitoring to predictive maintenance, emphasizing the benefits of reducing unplanned downtime and improving maintenance efficiency.Conversational Predictive Maintenance: Introduction of conversational predictive maintenance powered by AI, which makes interacting with maintenance data more user-friendly through chat functions and copilots.Data Utilization: Discussion on how even small amounts of data can effectively inform maintenance decisions, challenging the misconception that large datasets are necessary for predictive maintenance.AI's Role in Maintenance: Exploration of generative AI's role in making maintenance tasks more accessible and scalable, allowing users to ask natural language questions about machine conditions and get informed, contextual responses.Human and Machine Collaboration: Insights into how the integration of AI is transforming predictive maintenance into a more interactive process, supporting users in real-time decision-making and troubleshooting.Ongoing Innovation: Speculation on the future of predictive maintenance, particularly how AI-driven insights will continue to evolve and improve maintenance strategies.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

    33분
  2. Digital Transformation and AI in Mining - a discussion with Joseph Starwood from Microsoft

    11월 19일

    Digital Transformation and AI in Mining - a discussion with Joseph Starwood from Microsoft

    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.Episode Summary:Exploring AI's Role in Mining: Learn how AI and digital transformation are reshaping the mining industry, from improving operational efficiency to offering predictive insights.Fostering a Data-Driven Workforce: We’ll discuss the importance of a people-centric approach, where a data-driven culture enhances safety, productivity, and decision-making.Simple Wins in Digitization: Expect insights on how mining companies can easily start their digital journey by automating manual processes for faster, safer operations.Addressing Workforce Gaps with AI: Hear how AI and automation can fill critical skill gaps as the mining workforce ages, making the industry safer and less dependent on physical labor.Building Strategic Partnerships: We’ll talk about the value of collaborating with tech providers to build a secure, open ecosystem that accelerates digital transformation in mining.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

    42분
  3. Understanding predictive maintenance buzzwords - with Maria Thoms

    11월 14일

    Understanding predictive maintenance buzzwords - with Maria Thoms

    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.This episode covers:The Basics of Predictive Maintenance: Understand how predictive maintenance uses data to forecast machine failures and optimize maintenance schedules, saving time and resources.AI and Machine Learning in Maintenance: Learn how AI and machine learning algorithms analyze data to detect anomalies and predict equipment breakdowns.Condition Monitoring as a Foundation: Discover how condition monitoring collects real-time data to enable predictive maintenance, providing insights into equipment performance.Digital Twins Explained: Explore the concept of digital twins—virtual models of physical assets—and how they help simulate, test, and optimize machinery before real-world deployment.Cloud vs. On-Premise Data Solutions: Understand the differences between cloud and on-premise storage, focusing on security, accessibility, and scalability for industrial applications.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

    40분
  4. SPS 2023: The state of readiness in the Danish Market

    11월 13일

    SPS 2023: The state of readiness in the Danish Market

    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 revisit last years SPS to explore the state of readiness in the Danish 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

    13분
  5. Hinter den Kulissen der industriellen KI: Innovationen und Insights mit Christina Schloter

    11월 7일

    Hinter den Kulissen der industriellen KI: Innovationen und Insights mit Christina Schloter

    Willkommen zum Trend Detection Podcast, präsentiert von Senseye Predictive Maintenance – der Plattform, die eine skalierbare vorausschauende Instandhaltung für sämtlicheAnlagen ermöglicht.  Beschreibung:  • Die Entwicklung erkunden: Entdecken Sie die aktuellen Fortschritte in der industriellen KI und Automatisierung, während wir uns mit den neusten Tools und Technologien beschäftigen, die die Industrie prägen.  • Die Revolution der Automatisierung: Entdecken Sie mehr über die zukunftsweisenden Projekte von Siemens, darunter das Copilot-System und digitale Geschäftsmodelle im Umfeld der Fabrikautomatisierung.  • Einblicke in KI-Strategien: Erfahren Sie mehr über vorausschauende Instandhaltung, KI-Infrastrukturen und wie generative KI die Industrie verändert.  • Zukünftige Trends: Werfen Sie einen Blick in die Zukunft der industriellen KI, einschließlich aufkommender Technologien und zukünftiger Veränderungen in der Industrie..  Weitere Informationen darüber, wie Senseye Predictive Maintenance ungeplante Ausfälle reduziert und die Nachhaltigkeit Ihrer Produktionsanlagen verbessert, finden Sie unter www.siemens.com/senseye-predictive-maintenance

    36분
  6. Bluescope Steel Success Case Deep Dive - with Chris Wonson

    11월 5일

    Bluescope Steel Success Case Deep Dive - with Chris Wonson

    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.This episode covers:Overview of the deployment of Senseye Predictive Maintenance deployment at Bluescope SteelDeep dive into a success case that resulted in 24 hours unplanned downtime savingsHow the new copilot functionality in Senseye is transforming the way they workAdvice to other companies looking to implement predictive maintenance solutionsYou 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

    47분
  7. F&B TechTalks: Innovative concepts – Predictive Maintenance

    11월 1일

    F&B TechTalks: Innovative concepts – Predictive Maintenance

    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.This episode covers:Optimizing Plant Performance and Reducing DowntimeLearn how predictive maintenance uses data insights to improve efficiency, keep operations smooth, and minimize unplanned downtime.Enhancing Product Quality and Safety Explore how early issue detection helps maintain consistent product quality, safeguards employees, and reduces environmental risks.Scalable Solutions for Proactive Issue DetectionDiscover how our scalable predictive maintenance solutions enable you to detect potential issues before they occur, ensuring safer and more sustainable operations.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

    36분
  8. Sensors - When, where, why? - With Chris Garrison

    10월 29일

    Sensors - When, where, why? - With Chris Garrison

    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.This episode with Chris Garrison Covers:The Evolution of Predictive Maintenance and Sensor Technology: How advancements in sensor tools enable proactive fault prediction.Starting Predictive Maintenance with Available Data: Using onboard diagnostics to kickstart predictive maintenance without major investments.Optimizing Sensor Coverage for Different Equipment: Determining the right sensor setup based on equipment complexity and fault characteristics.Adopting a Holistic Approach to Asset Health: Leveraging diverse data types to gain a comprehensive view for proactive maintenance.Unlocking Benefits Beyond Maintenance: How predictive maintenance improves safety, reduces downtime, and enhances efficiency across the 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

    42분
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소개

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-maintenance

정보

  • 채널
    Siemens
  • 제작진
    Siemens
  • 방송 연도
    2023년 - 2024년
  • 에피소드
    141
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    전체 연령 사용가
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    © Siemens AG
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    Trend Detection Podcast

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