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.
Richard Tibbetts is CEO of Empirical Systems, an AI startup. He was founder and CTO at StreamBase, a CEP company that merged with TIBCO in 2013, as well as a visiting scientist at the Probabilistic Computing Project at MIT. He holds a MEng in computer science and a BS in computer science and electrical engineering from MIT.