Ramez Naam is a former Microsoft executive, entrepreneur, inventor, and the Energy Co-Chair at Singularity University. Ramez spent 13 years at Microsoft, where he led teams working on artificial intelligence, big data, and internet search. His software has touched the lives of more than a billion people. He holds more than 20 patents—including several as co-inventor with Bill Gates. Dynamic and personable, Naam speaks around the world, captivating audiences as he illustrates “what disruption looks like” and shares the eight strategies incumbents should draw on to keep the pace of change.

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.

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.