Mentionsvisuals ordashboardsTalksabout toomany datasourcesMentionssafetyMentionsmachinelearningMentionssystemreliability"Itdepends..."MentionsriskSharesa lessonlearnedMentionsmodeluncertaintyMentionsdatagovernanceorstewardshipSomeonesays"Excel""That's agreatquestion"MentionsUAITalksabouttools orplatformsReferencesweatherimpactsMentionsDIMP orTIPBrings areal-worldchallengeMentionsanomalydetectionTalksabout dataqualityissuesTalksaboutculture orbuy-in"We're stillworkingon that"MentionspredictiveanalyticsReferencesIoT orsensorsTalksaboutdamagepreventionMentionsvisuals ordashboardsTalksabout toomany datasourcesMentionssafetyMentionsmachinelearningMentionssystemreliability"Itdepends..."MentionsriskSharesa lessonlearnedMentionsmodeluncertaintyMentionsdatagovernanceorstewardshipSomeonesays"Excel""That's agreatquestion"MentionsUAITalksabouttools orplatformsReferencesweatherimpactsMentionsDIMP orTIPBrings areal-worldchallengeMentionsanomalydetectionTalksabout dataqualityissuesTalksaboutculture orbuy-in"We're stillworkingon that"MentionspredictiveanalyticsReferencesIoT orsensorsTalksaboutdamageprevention

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