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Event Location: Utah
Male
Speaker Location: Illinois
Speaker Location: Louisiana
Speaker Location: Washington
Speaker Location: West Virginia
Consumer Behavior

Co-Chairman of Albertsons, Former CEO of Starbucks, Former CEO of Extended Stay Hotels, & Former CEO of Pathmark Supermarkets

Fees
  • Local: $35,001 - $55,000*
  • US East: $35,001 - $55,000*
  • US West: $35,001 - $55,000*
  • Europe: $55,001 - $75,000*
  • Asia: $75,001 and up*
Jim Donald – the current co-chairman and former CEO of Albertsons, and the former CEO of Starbucks, Haggen Food & Pharmacy, and Extended Stay Hotels – focuses on innovation, quality, and service. He started his career as a grocer; he was handpicked by Sam Walton to build a supermarket presence for Wal-Mart. He helped Starbucks enjoy record growth and performance and increase its social responsibility commitment. At Extended Stay Hotels, Donald utilizing his reputation for turning around ailing companies. Named one of the “Top 25 CEOs in the World,” he addresses leadership, management, the power of one customer.

Distinguished Career Professor; Former Chief Scientist of the Obama 2012 Election Campaign

Fees
  • Local: $20,001 - $35,000*
  • US East: $20,001 - $35,000*
  • US West: $20,001 - $35,000*
  • Europe: Please Inquire
  • Asia: Please Inquire
Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.
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