Building a Culture of Knowledge Sharing - with Rob Russell and Johnathan Bonner

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:Importance of Knowledge Sharing in
Predictive Maintenance: Explores how sharing and capturing
knowledge enhances the success of predictive maintenance by
leveraging past learnings for future improvements, including
configuration and deployment efficiencies.Long-term Vision and
Incremental Implementation: Discusses the importance of setting
clear objectives and a vision for predictive maintenance while
adopting an incremental approach to scale deployments across
factories and teams.Value-driven Strategy: Emphasizes starting with
a clear understanding of both short-term and long-term value, using
realistic milestones to measure success and guide
deployment.Learning from Successes and Challenges: Highlights the
need to recognize incremental successes and learn from challenges
during the deployment and scaling process, ensuring continuous
improvement.Real-world Example: References a successful application
of these principles in a case study, illustrating the tangible
benefits of predictive maintenance and knowledge-sharing
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