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Trend Detection Podcast

Trend Detection Podcast

Auteur(s): Siemens
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À propos de cet audio

 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-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.Siemens AG
Épisodes
  • Creative Thinking in Predictive Maintenance: A Conversation with Jordan Walters

    Creative Thinking in Predictive Maintenance: A Conversation with Jordan Walters
    Jan 28 2026
    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:The Essence of Creativity in Engineering: How creative thinking is crucial for innovating solutions to complex problems in predictive maintenance (PM), moving beyond established methods to develop bespoke approaches for each customer.Unconventional Problem-Solving with Existing Tools: Discover how seemingly limited data, like temperature readings from electric car charger pins, can be creatively manipulated using features like "derived measures" to detect degradation, even when traditional sensor deployment isn't feasible.Bridging the Gap: From Industrial Practice to Education: Learn about the "Connected Curriculum" initiative, which brings Senseye to university students, and the creative adaptations needed to teach real-world data challenges (like noisy or incomplete data) and PM principles in an academic setting.Debunking Misconceptions about AI and Data: Understand that perfect data is a myth and that effective AI in PM, like Senseye, thrives on curated, clean data focused on specific condition indicators, rather than a "big data" dump, to provide nuanced and accurate insights.AI as an Enabler for Human Creativity: Explore how AI serves as a powerful tool to support and amplify human ingenuity in engineering, emphasizing the importance of asking questions, providing context, and fostering a collaborative environment to drive innovation and personal growth in the field.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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    31 min
  • Vibration Analysis 101: Unlocking the Power of Predictive Maintenance - with Chris Garrison

    Vibration Analysis 101: Unlocking the Power of Predictive Maintenance - with Chris Garrison
    Jan 20 2026
    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:The Evolution of Vibration Analysis: Discover how this crucial predictive maintenance technique has evolved from manual listening with a screwdriver to sophisticated instrumentation, enabling early detection of equipment issues weeks in advance.Best Practices for Implementation: Understand the importance of careful planning, selecting the right sensors for specific assets, and conducting criticality assessments to avoid common pitfalls like "whack-a-mole" problems and ensure a strong return on investment.Why Vibration Analysis is a Foundational PDM Technology: Explore its broad applicability across various industrial equipment and environments, making it one of the most comprehensive methods for identifying a wide range of fault modes compared to more niche predictive maintenance technologies.The Game-Changing Impact of AI and Cloud: Learn how these advanced technologies have revolutionized vibration analysis by enabling rapid data interpretation, providing remote access to expert insights, offering scalable monitoring solutions for any facility size, and ensuring continuous software updates.Achieving Actionable, Contextualized Insights: Find out why cross-departmental cooperation is vital for successful implementation and how AI-driven platforms like Senseye provide tailored recommendations by understanding a facility's unique operational context, maintenance history, and risk tolerance.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 min
  • IoT Time - with Peter Schopf

    IoT Time - with Peter Schopf
    Jan 13 2026
    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:The Realistic Path to AI Adoption: Peter clarifies that while autonomous AI agents are exciting, they are still in early research. Companies should prioritize mastering foundational stages like strategic prompting and AI assistance before diving into complex agent workflows.Unlocking the Power of Strategic Prompting: Discover the difference between "operative prompting" (for direct outputs) and the often-underutilized "strategic prompting," where AI helps structure complex problems and create frameworks for future solutions, offering significant benefits.Debunking AI Myths and Misconceptions: Learn to navigate the "fake news" around AI, including exaggerated project failure rates and the notion of AI "getting dumber," by understanding the context behind such claims and focusing on reliable insights.Treating AI Like a "Working Student": Gain insights into effectively interacting with generative AI by treating it as a collaborative "working student," emphasizing the critical role of providing clear context, examples, and iterative feedback for optimal results.Navigating the "Build vs. Buy" Dilemma for AI/IoT: Explore the strategic considerations for companies deciding whether to develop their own AI and IoT solutions or integrate existing market offerings, and how this decision impacts differentiation and resource allocation.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 min
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