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Making business Bayesian: From uncertainty to action

Richard Tibbetts (Empirical Systems)
2:35pm–3:15pm Tuesday, May 1, 2018
AI Business Summit, Impact of AI on Business and Society
Location: Morgan Level: Beginner
Tags: wl

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

Description

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

Empirical Systems

Richard Tibbetts is CEO of Empirical Systems, an MIT spinout building an AI-based data platform that provides decision support to organizations that use structured data. Previously, 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.

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Comments

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

where can I find the slides for this presentation