Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

AI for business analytics

Richard Tibbetts (Tableau)
1:15pm1:55pm Thursday, September 28, 2017
Artificial Intelligence, Machine Learning & Data Science
Location: 1A 12/14 Level: Beginner
Secondary topics:  AI
Average rating: **...
(2.75, 4 ratings)

Who is this presentation for?

  • Data scientists working with structured business data, business analysts and data scientists providing decision support, business stakeholders looking to make more rigorous, empirically grounded decisions, and IT executives looking to unlock additional value from existing structured data assets

Prerequisite knowledge

  • Experience using structured data in a business setting
  • Familiarity with decision support and/or business intelligence
  • A basic understanding of SQL or Python

What you'll learn

  • Understand how AI can help business analysts and data scientists analyze structured business data and provide decision support
  • Explore new AI technologies, such as probabilistic programming, deep learning, and Bayesian nonparametrics

Description

Businesses have spent decades trying to make better decisions by collecting and analyzing structured data. New AI technologies, including probabilistic programming, Bayesian nonparametrics, and deep learning, are beginning to transform this process. Richard Tibbetts offers a broad overview of these technologies, emphasizing the new organizational capabilities that they create.

Richard covers academic projects for AI-assisted data science, such as BayesDB and the Automated Statistician, as well as emerging technology from multiple startups, highlighting AI that guides business analysts to ask statistically sensible questions and lets junior data scientists answer questions in minutes that previously took trained statisticians hours. Along the way, Richard explains how AI is used to answer questions about the probable implications of messy structured data by translating business questions of interest into queries and using AI assistance to answer them via a combination of open source and commercial tools.

Photo of Richard Tibbetts

Richard Tibbetts

Tableau

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.