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X-ORIGINAL-URL:https://utilityanalytics.com/
X-WR-CALNAME:Utility Analytics Institute
X-WR-CALDESC:Utility led community for analytics professionals
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CLASS:PUBLIC
UID:MEC-23383001c4611358b44a210dfa7391a6@utilityanalytics.com
DTSTART:20260519T180000Z
DTEND:20260519T190000Z
DTSTAMP:20260324T175000Z
CREATED:20260324
LAST-MODIFIED:20260423
PRIORITY:5
SEQUENCE:1
TRANSP:OPAQUE
SUMMARY:May 19 Data Science Community –  Testing and Monitoring AI in Utility Applications to Support Predictive Maintenance for Analytics
DESCRIPTION:Join the Data Science Community on Tuesday, May 19, 2026 at 1:00 PM CT for a presentation with Q&A/open discussion on “Testing and Monitoring AI in Utility Applications to Support Predictive Maintenance for Analytics” led by David Corliss, Principal Data Scientist at Grafham Analytics.\nSession Description:\nAnalytic models have a finite lifespan as, over time, data used to develop the models are less representative of current conditions, challenges, and the changing needs of the utility. This session will demonstrate how to develop and implement a system for monitoring the changing performance of predictive analytics. This periodically updated metric supports a forecast of future prediction performance, enabling the utility team to scheduling model re-fitting before it degrades below the performance standard set for the prediction. \n \n*UAI Utility Members can register and access all nine of our Analytics Communities via our Community Page ( https://utilityanalytics.com/communities/ ). Not a part of the Data Science Community and want to join this session? Please use our direct link here ( https://utilityanalytics.com/communities/data-science/ ) to request access. You will find the Teams meeting credentials to the upcoming meeting at the top of the feed on this page. If you have any questions or run into any issues, please contact us at info@utilityanalytics.com ( mailto:info@utilityanalytics.com ).\n
URL:https://utilityanalytics.com/events/datasciencemay2026/
CATEGORIES:Community Meeting
LOCATION:Virtual
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