Welcome to the Trend Detection podcast, powered by Senseye, an industry leader in using AI to drive scalable and sustainable asset performance and reliability.

For this 3-part series, I’m joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

In the third and final episode of this series, James reveals how predictive maintenance has helped him to overcome the challenges he faces on a day-to-day basis, the common mistakes to avoid when using such a tool and the benefits he has seen first hand of working with remote based colleagues.

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You can find out more about how Senseye can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting Senseye.IO. Thanks a lot for listening.