MentionsanomalydetectionSomeonesays"Excel"MentionsmachinelearningMentionsvisuals ordashboards"That's agreatquestion"Talksabouttools orplatformsMentionsUAIMentionssafetyMentionsmodeluncertaintyReferencesIoT orsensorsMentionsdatagovernanceorstewardshipBrings areal-worldchallengeMentionsrisk"Itdepends..."Talksabout dataqualityissuesTalksaboutculture orbuy-inSharesa lessonlearnedMentionssystemreliabilityMentionspredictiveanalytics"We're stillworkingon that"MentionsDIMP orTIPReferencesweatherimpactsTalksabout toomany datasourcesTalksaboutdamagepreventionMentionsanomalydetectionSomeonesays"Excel"MentionsmachinelearningMentionsvisuals ordashboards"That's agreatquestion"Talksabouttools orplatformsMentionsUAIMentionssafetyMentionsmodeluncertaintyReferencesIoT orsensorsMentionsdatagovernanceorstewardshipBrings areal-worldchallengeMentionsrisk"Itdepends..."Talksabout dataqualityissuesTalksaboutculture orbuy-inSharesa lessonlearnedMentionssystemreliabilityMentionspredictiveanalytics"We're stillworkingon that"MentionsDIMP orTIPReferencesweatherimpactsTalksabout toomany datasourcesTalksaboutdamageprevention

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