December 3 Enterprise Analytics Community – What TPU Learned Migrating Data Products to Snowflake & Applying AI in a Real Dev Cycle

Join the Enterprise Analytics Community on Thursday, December 3 at 1:00 PM CT for a presentation with Q&A/open discussion on, “What TPU Learned Migrating Data Products to Snowflake & Applying AI in a Real Dev Cycle” led by Robert Saul, Data & Analytics Manager at Tacoma Water.

 

Session Description:

The TPU Data & AI Enablement team has spent the last 6 months rebuilding Tacoma Water’s Regional Water Supply System (RWSS) reporting platform: moving legacy web apps to Snowflake, data models to Snowflake, correcting data model calculations, and providing users with much needed feature upgrades (like on-demand data model rebuilds). The team was running up on their deadline and luckily got their hands on Claude Enterprise. This session covers this small team used Claude Enterprise inside its existing plan, develop, test, and deploy cycle to bring the project over the finish line.
Attendees will leave with:
• An overview of the solution and our system architecture and why we think it’s great
• How AI can be used to allow non-technical users to peek behind the curtain to self-serve and get the answers they need
• Why close and frequent stakeholder involvement and user acceptance testing is critical for success
• Where we feel human review remains essential in AI-accelerated development
• What we’d do if we did it again (and what we wouldn’t)

 

UAI Utility Members can register and access all nine of our Analytics Communities via our Community Page. Not a part of the Enterprise Analytics Community and want to join this session? Please use our direct link here 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.

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Date

Dec 03 2026

Time

ET
2:00 pm - 3:00 pm

Local Time

  • Timezone: Europe/London
  • Date: Dec 03 2026
  • Time: 7:00 pm - 8:00 pm

Location

Virtual

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