Episodes

  • Readiness for predictive maintenance in The Netherlands - with Nienke Vergeer and Jesper Verschoor
    Dec 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.This episode covers:Regional Readiness and Cultural Mindset: How different attitudes shape predictive maintenance adoption.Industry Insights: Examining the food & beverage and heavy industry sectors.Shifting from Reactive to Proactive Maintenance: The journey from traditional maintenance to digital transformation.Stakeholder Alignment: Importance of buy-in from all levels for successful implementation.Challenges in Scaling: Unique hurdles faced by small and large companies in implementing predictive maintenance.The Role of AI: How predictive maintenance and AI can address productivity demands. 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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    39 mins
  • Tech, Sustainability & the Future: Insights from Former Gartner Analyst Dr Derek Prior
    Dec 12 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.Leverage Cross-Disciplinary Skills: Combining technical expertise with business insight can drive more strategic decision-making.Integrate Data for Better Outcomes: Blending engineering and business data is crucial for accurate, actionable insights.Balance Short & Long-Term Goals: Engineers and IT teams often have different priorities, but aligning their perspectives is key to success.Adopt Technology with Purpose: Only implement new technology when it clearly supports a defined business goal.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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    47 mins
  • Pharmacy and Predictive Maintenance with Chris Smith
    Dec 10 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.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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    29 mins
  • Generating Maintenance Confidence Using AI and Predictive Maintenance - with Johnathan Bonner
    Dec 5 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.What you’ll learn:How AI predicts equipment issues before they happenStrategies to minimize downtime and keep operations running smoothlyHow smarter, data-driven insights can build confidence in maintenance practicesYou 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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    25 mins
  • IoT Time- with Peter Schopf
    Dec 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. What’s inside this episode:Generative AI’s Role: How AI bridges knowledge gaps, empowers teams, and transforms data management for future success.Navigating Transformation: Peter shares strategies to help medium-sized companies overcome challenges like internal resistance and resource allocation.Personalized Journeys & Innovation: Insights into crafting tailored customer experiences, driving process innovation, and building strong partnerships.Real-World Challenges: A candid look at the hurdles of digital transformation, including the impact of knowledge loss.Looking Ahead: A sneak peek into future episodes with deeper dives into the remaining “Ps” and inspiring success stories
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    40 mins
  • Boosting Pharmaceutical Efficiency Through Scalable Predictive Maintenance- with Johnathan Bonner
    Nov 28 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.Catch up on the virtual live event crafted specifically for the pharmaceutical industry, where we’ll dive into how Senseye Predictive Maintenance is transforming operations by enhancing efficiency, minimizing downtime, and ensuring asset reliability. 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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    30 mins
  • Bridging Data and Predictive Maintenance Deployments - with Dr Rebecca French
    Nov 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.In this episode, you will learn:Role Evolution and Expertise: Rebecca French, Senseye's Technical Delivery Lead, discusses her journey from data science to technical delivery, emphasizing the importance of bridging customer feedback with product development.Predictive Maintenance at Scale: The episode explores how Senseye's predictive maintenance platform scales across diverse assets, avoiding asset-specific models, which makes it adaptable and efficient for large-scale deployments.Importance of Communication and User Involvement: Rebecca highlights the need for clear communication between Senseye’s teams and the end users, ensuring that predictive maintenance insights are accessible and actionable.Gen AI's Impact on Predictive Maintenance: The integration of generative AI, like Maintenance Co-Pilot, enriches the predictive maintenance process by offering deeper, contextual insights that support maintenance teams' decision-making.Success Stories and Cultural Shifts: A focus is placed on how companies like BlueScope Steel have embedded predictive maintenance into their organizational culture, leading to role creation for champions within the organization, underscoring predictive maintenance's transformative impact on businesses.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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    45 mins
  • The truth about predictive maintenance - with Nat Ford
    Nov 21 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.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
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    33 mins