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