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Making business Bayesian: From uncertainty to action

Richard Tibbetts (Tableau)
2:35pm–3:15pm Tuesday, May 1, 2018
Tags: wl
Average rating: ***..
(3.00, 2 ratings)

Who is this presentation for?

  • IT executives and business analysts, decision makers, and stakeholders

Prerequisite knowledge

  • Experience with structured data in a business setting
  • Familiarity with decision support or business intelligence

What you'll learn

  • Explore current Bayesian approaches to data analytics
  • Understand transparent or explainable AI, the benefits of Bayesian AI as a decision-making tool, and the business value of incorporating explainable AI that quantifies uncertainty


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. Richard Tibbetts shares techniques for capturing domain knowledge and making findings actionable for decision makers utilizing the explanatory powers of transparent AI.

Photo of Richard Tibbetts

Richard Tibbetts


Richard Tibbetts is currently a Principal Product Manager at Tableau. He was founder and CEO of Empirical Systems (acquired by Tableau 2018), a MIT spinout building an AI-based data platform that provided decision support to organizations that use structured data. Prior to Empirical, he was founder and CTO of StreamBase, a CEP company (acquired by TIBCO 2013), as well as a visiting scientist at the Probabilistic Computing Project at MIT.

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Prithviraj Chavan |
05/11/2018 2:22am EDT

where can I find the slides for this presentation