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Speaker Location: Illinois
Speaker Location: Michigan
Speaker Location: Minnesota
AI, Machine Learning, & Big Data

Global Futurist & Best-Selling Author

Fees
  • Local: $20,001 - $35,000*
  • US East: $20,001 - $35,000*
  • US West: $20,001 - $35,000*
  • Europe: $20,001 - $35,000*
  • Asia: $20,001 - $35,000*
Introducing the business world to the next big thing, Jack Uldrich reveals how future trends and paradigm-shifters will change business, and how “learning to unlearn” can help organizations prepare for the future and capitalize on these periods of profound change. A best-selling author, technology guru, and global futurist, Uldrich is a leading voice on nanotechnology and forward-thinking leadership. Jack knows how to read the future landscape to help audiences set goals and position themselves to take advantage of emerging trends and developments—including blockchain technology, artificial intelligence (AI), the impact of the rise of autonomous vehicles, and more.

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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