How AI is optimizing factory maintenance – Part 2

By Spencer Acain

Decision making is a key part of any business, but it can take years to build up the knowledge and experience required to make quick, accurate judgements within a domain of expertise. This is just as true when it comes to deciding the course for a massive company as it is for deciding when a single machine needs to be taken down for maintenance. With the rise of conversational AI, the process can be made easier with smart systems that bring key information to the forefront.

In this episode, host Spencer Acain is joined once again by Dr. James Loach, Head of Research for Senseye Predictive Maintenance to discuss the ways Senseye is using AI to build intelligent decision support systems. James explains the importance of these systems, as well as their limitations and how Senseye is working to build trust in them.

In this episode you will learn:

  • Why AI decision support systems are important (1:24)
  • How Senseye is building trust in the system (6:58)
  • The value of where AI and humans meet (12:00)
James Loach

James Loach

Head of Research for Senseye Predictive Maintenance

Spencer Acain

Spencer Acain

Technical Writer for Global Marketing at Siemens Digital Industries Software

AI Spectrum Podcast

AI Spectrum

This podcast features discussions around the importance of AI and ML in today’s industrial world.

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This article first appeared on the Siemens Digital Industries Software blog at https://blogs.sw.siemens.com/podcasts/ai-spectrum/how-ai-is-optimizing-factory-maintenance-part-2/