As one of the most sought-after and most-quoted economists in the world, Diane Swonk has more than 30 years of experience in financial services. She is the Founder and CEO of DS Economics and, for 11 years, the senior managing director and chief economist for Mesirow Financial. She has sat on advisory committees to high-level governmental banking authorities, and has also earned many awards over her career, including being listed as one of the “Top Forecasters in the Country” by The Wall Street Journal. She addresses trade issues, regulation, taxes, policy and the markets, and many other issues affecting business and the economy.

Linda Bernardi lives and breathes technology disruption and innovation. She is currently Co-Founder and CEO of XdMind Inc., a revolutionary company using AI to dynamically adapt music to video gaming. Today, technology is evolving like never before, and Linda is involved in creating cutting-edge technologies across all sectors, including finance, retail, healthcare, high-tech, logistics, automotive, consumer goods, and all others. Her focus is to enable all enterprises to imagine, disrupt, innovate at record pace, and make the impossible become possible. She works with startups all around the globe, as well as large companies, to enable and inspire enterprises to build a culture of mindful innovation. She loves to practice the beautiful Art of Imagination – the first step towards innovation. Linda believes that the best ideas are the ‘crazy’ ideas, stemming from a keen sense of unbounded imagination, and she works to unleash people’s imaginations.

Brian Evergreen is a tech visionary whose insights are sought after by the companies that are changing the world as they explore new ways to transform their own organizations. He is best known for advising Fortune 500 companies on emerging technologies, especially artificial intelligence, and the ways in which these powerful tools and resources can be uniquely integrated into their business’ infrastructure and strategy. Previously, Evergreen served as the global head of autonomous AI co-innovation at Microsoft Research. He held similar tech, AI, and engineering head of/lead roles at other top companies, including Amazon Web Services (AWS) and Accenture. He builds upon these experiences to introduce new ways to push the boundaries of what’s possible with AI in all aspects of how we work and live.

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.

Robert Genetski's experience in the world of economics and finance involves a unique combination of business and academic expertise. He has headed asset management, and investment and economic research departments for several financial institutions. His entertaining and anecdotal presentations focus on the economic outlook for the U.S and beyond.

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.