Abstract: 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 talk presents techniques for capturing domain knowledge and making findings actionable for decision makers utilizing the explanatory powers of transparent AI.
Bio: Richard Tibbetts is the CEO of Empirical Systems. Prior to Empirical, he was founder and CTO at StreamBase, the leading real-time analytics platform, which merged with TIBCO in 2013. Subsequently, Richard was a visiting scientist at the Probabilistic Computing Project at MIT and lead the open source release of BayesDB. He holds MEng and SB degrees in computer science from MIT.
