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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 episode, we’ve tried something a little bit different to normal – we’ve gone LIVE!
We were joined by Dr Chris Smith, Implementation Lead at Senseye and a live audience to discuss how to run a PdM project and why they sometimes fail, plus the key differences between predictive maintenance and condition monitoring.
We’re hosting live sessions every two weeks so if you’re interested in joining the next one, please sign up for our newsletter to be notified about the next one.
Please subscribe via your favorite podcast provider if you'd like to be notified about future episodes and it would mean a lot if you could let us know your feedback by leaving us a review.
You can find out more about how Senseye can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting www.senseye.io. Thanks a lot for listening.
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 episode, we’ve tried something a little bit different to normal – we’ve gone LIVE!
We were joined by Dr Chris Smith, Implementation Lead at Senseye and a live audience to discuss how to run a PdM project and why they sometimes fail, plus the key differences between predictive maintenance and condition monitoring.
We’re hosting live sessions every two weeks so if you’re interested in joining the next one, please sign up for our newsletter to be notified about the next one.
Please subscribe via your favorite podcast provider if you'd like to be notified about future episodes and it would mean a lot if you could let us know your feedback by leaving us a review.
You can find out more about how Senseye can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting www.senseye.io. Thanks a lot for listening.