Bridging Data and Predictive Maintenance Deployments - with Dr Rebecca French

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