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.

Haydn Shaw has researched and helped clients regarding generational differences for over twenty years. He is the author of Sticking Points: How to Get 4 Generations Working Together in the 12 Places They Come Apart and FranklinCovey’s bestselling workshops Leading Across Generations and Working Across Generations. He also writes on generations and leadership for the Huffington Post. Haydn connects with virtually any group in any industry, and brings practical and inspiring examples from the boardroom and the front line.