Building a Culture of Knowledge Sharing – with Rob Russell and Johnathan Bonner [Video]

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:

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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.

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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.

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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.

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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.

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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 (http://www.siemens.com/senseye-predictive-maintenance)