January 12, 2020

219 words 2 mins read

Hit a home run making baseball decisions using artificial intelligence and machine learning

Hit a home run making baseball decisions using artificial intelligence and machine learning

Join Ari Kaplan, Erin LeDell, Chris Coad, and David Kearns to see where AI meets business intelligence, as they explore the latest ML technologies and concepts powering today's decisions, including Hortonworks, Aginity Amp, H2O.ai, IBM Data Science Experience, and moreusing real-life baseball data to illustrate the concepts.
Talk Title Hit a home run making baseball decisions using artificial intelligence and machine learning
Speakers David Kearns (IBM), Ari Kaplan (Aginity), Erin Ledell (H2O.ai), Christopher Coad (Aginity)
Conference Artificial Intelligence Conference
Conf Tag Put AI to Work
Location San Francisco, California
Date September 5-7, 2018
URL Talk Page
Slides Talk Slides
Video

Join Ari Kaplan, Erin LeDell, Chris Coad, and David Kearns to see where AI meets business intelligence, as they explore the latest ML technologies and concepts powering today’s decisions, including Hortonworks, Aginity Amp, H2O.ai, IBM Data Science Experience, and more—using real-life baseball data to illustrate the concepts. You’ll discover why derived attributes are key to enriching existing datasets with new and reusable model features across the enterprise. Along the way, Ari—a real-life “Moneyball” expert with 30 years’ experience in Major League Baseball front offices (including creating the Chicago Cub’s Analytics Department)—explains how to integrate artificial intelligence with datasets such as baseball statistics. You’ll also learn how IBM’s immersive insights can be used to identify insights on pitchers and batters.

intelligence intel dataset ibm ml data science ai analytics machine learning artificial intelligence
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