"That's agreatquestion"Brings areal-worldchallengeTalksabout dataqualityissuesMentionsriskMentionsUAIMentionsdatagovernanceorstewardshipMentionsanomalydetectionReferencesweatherimpactsReferencesIoT orsensorsTalksabouttools orplatformsMentionssafetyTalksabout toomany datasources"Itdepends..."MentionsmachinelearningMentionsvisuals ordashboards"We're stillworkingon that"Someonesays"Excel"MentionssystemreliabilitySharesa lessonlearnedMentionsmodeluncertaintyMentionsDIMP orTIPTalksaboutculture orbuy-inTalksaboutdamagepreventionMentionspredictiveanalytics"That's agreatquestion"Brings areal-worldchallengeTalksabout dataqualityissuesMentionsriskMentionsUAIMentionsdatagovernanceorstewardshipMentionsanomalydetectionReferencesweatherimpactsReferencesIoT orsensorsTalksabouttools orplatformsMentionssafetyTalksabout toomany datasources"Itdepends..."MentionsmachinelearningMentionsvisuals ordashboards"We're stillworkingon that"Someonesays"Excel"MentionssystemreliabilitySharesa lessonlearnedMentionsmodeluncertaintyMentionsDIMP orTIPTalksaboutculture orbuy-inTalksaboutdamagepreventionMentionspredictiveanalytics

UAI Natural Gas Analytics Community - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. "That's a great question"
  2. Brings a real-world challenge
  3. Talks about data quality issues
  4. Mentions risk
  5. Mentions UAI
  6. Mentions data governance or stewardship
  7. Mentions anomaly detection
  8. References weather impacts
  9. References IoT or sensors
  10. Talks about tools or platforms
  11. Mentions safety
  12. Talks about too many data sources
  13. "It depends..."
  14. Mentions machine learning
  15. Mentions visuals or dashboards
  16. "We're still working on that"
  17. Someone says "Excel"
  18. Mentions system reliability
  19. Shares a lesson learned
  20. Mentions model uncertainty
  21. Mentions DIMP or TIP
  22. Talks about culture or buy-in
  23. Talks about damage prevention
  24. Mentions predictive analytics