Speaker(s): Richard Tibbetts

Businesses have spent decades trying to make better decisions through the complete understanding of data. New technologies make Bayesian inference and generative modeling more accessible to business analysts. But the ability to rapidly quantify uncertainty, simulate new data, and understand direction, magnitude, and confidence of effects creates new communications challenges. This session presents techniques for capturing domain knowledge and making findings actionable for decision makers.

Topic: Data Science and Statistics
Theme: Data and Analytics Skills
Type: Session
Level: Intermediate
Role: Analyst
Track: Analytics
Time: Wednesday - 2:15pm to 3:16pm

Recording and Materials