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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
  • The Spare Parts Puzzle: Insights with Richard Jeffers

    The Spare Parts Puzzle: Insights with Richard Jeffers
    Dec 10 2025
    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 about:The Hidden Cost of Poor Spare Parts Management: Discover how inadequately managed spare parts lead to significant capital tie-up, increased downtime, and often overlooked financial burdens in industrial settings.Why Spare Parts Are an Underserved Area: Understand the historical reasons behind the neglect of spare parts, from complex naming conventions and lack of transparency to accounting treatments that obscure their true impact.The Transformative Power of AI and LLMs: Learn how emerging technologies like Large Language Models (LLMs) can revolutionize spare parts management by accelerating RCM studies, standardizing inventory data, and enabling more strategic stocking decisions.Integrating Spare Parts into Your Digital Strategy: Explore how effective spare parts management is a crucial, yet often underestimated, component of a comprehensive digital transformation and predictive maintenance strategy.Gaining Executive Buy-in for Optimization: Get insights into how to justify investment in spare parts management by demonstrating clear return on investment through reduced working capital, minimized downtime, and enhanced operational efficiency.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
  • Growth Potential Beyond Maintenance with Ntau Setoaba

    Growth Potential Beyond Maintenance with Ntau Setoaba
    Dec 3 2025
    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.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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    28 min
  • From the Field: What Customers Really Want in Predictive Maintenance - with Tom Jacques

    From the Field: What Customers Really Want in Predictive Maintenance - with Tom Jacques
    Nov 26 2025
    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: Cut Through the Noise: Discover the true, underlying challenges customers face in maintaining their assets, moving beyond buzzwords to focus on what genuinely impacts production and downtime.Experience Rapid Intelligence: Learn how Senseye's software can "learn" an asset's normal operation in just 2-5 days, providing insights that might seem too good to be true, and how customer feedback directly shapes its evolution.Debunk Predictive Maintenance Myths: Understand that predictive maintenance isn't about eliminating all failures or replacing human expertise, but about optimizing maintenance timing and acting as a powerful decision-support tool.Witness Industry 4.0 in Action: Hear how digital transformation is delivering real, measurable success for companies across various sectors, making advanced asset monitoring more accessible and impactful than ever before.Strategize for Maximum Impact: Gain insight into how identifying critical pain points and understanding the ripple effects of asset failure are key to selecting the right machines for monitoring, ensuring significant return on investment.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 min
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