Quick Wins And Dead Ends: A Collection Of Customer Stories In Asset-Heavy Industries – Jake Bouma

Is the application of Machine Learning to Predictive Maintenance different to what we initially thought? By reviewing real world successes and failures across diverse industrial applications, this talk will challenge current formulations, priorities and perceptions of value in Predictive Maintenance today.

Learning points:

  • Showcase of real world use cases in asset-heavy industries
  • Perspective on the feasibility and value of different Predictive Maintenance and related use cases
  • How to take data science beyond prototypes and scale across the industrial organization

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