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Sep 4-5, 2018: Training
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Hit a home run making baseball decisions using artificial intelligence and machine learning

David Kearns (IBM), Ari Kaplan (Aginity), Erin Ledell (H2O.ai), Christopher Coad (Aginity)
4:50pm-5:30pm Thursday, September 6, 2018
Implementing AI, Interacting with AI, Models and Methods
 Location: Imperial A
Secondary topics:  Edge computing and Hardware, Interfaces and UX
Average rating: *****
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Who is this presentation for?

  • Product managers, data scientists, chief data officers, architects, and analysts

Prerequisite knowledge

  • A high-level understanding of databases and SQL
  • Familiarity with data frames (useful but not required)

What you'll learn

  • Learn how to build a complete AI platform, rate the features for models, and drive visualizations with large datasets (specifically augmented reality)
  • Understand the importance of derived attributes

Description

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.

Photo of David Kearns

David Kearns

IBM

David Kearns is an offering manager on the analytics ecosystem team at IBM, focusing on ISVs in the data science market. Previously, David was an offering manager for IBM Netezza and IBM Industry Models, where he worked with large banks and insurance companies such as Bank of America, Lloyds, Raymond James, Citi, Bank of Montreal, and IF Insurance. David has many years of experience in UML, SOA architecture, and web services. From the ages of 12 to 22, David represented Ireland in track and field and was an Irish schools champion in the 400 m and 400 m hurdles. David holds a BSc and an MBA from Dublin City University and is currently working on an MSc in multimodal human language technology at the Institute of Technology Blanchardstown.

Photo of Ari Kaplan

Ari Kaplan

Aginity

Ari Kaplan is principal enterprise analytics consultant at Aginity. A leading figure in analytics, technology, and business, Ari is also known for his “Moneyball” background, which includes creating and leading the Analytics Department for the Chicago Cubs and helping transform the championship organization. He was president of the Independent Oracle Users Group for the world’s largest business software firm during its key acquisitions of MySQL, Peoplesoft, and Siebel. Caltech named him “Alumni of the Decade” for his innovation in analytical solutions.

Photo of Erin Ledell

Erin Ledell

H2O.ai

Erin Ledell is the chief machine learning scientist at H2O.ai, the company that created the open source distributed machine learning platform H2O. Previously, she was the principal data scientist at Wise.io (acquired by GE Digital in 2016) and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc. Erin holds a PhD from the University of California, Berkeley, where her research focused on scalable machine learning and statistical computing, as well as a BS and MA in mathematics.

Photo of Christopher Coad

Christopher Coad

Aginity

Chris Coad is director of customer development at Aginity, focusing on helping companies realize the value of reusing their analytics across their organization. Chris has many years of experience operationalizing analytics for companies in the automotive, financial services, and education industries. Previously, he founded and led a connected car company, where he helped a wide range of clients leverage IoT data. Chris holds a BS in management from Purdue University.