AI – Defining the Future



What Does the Future Hold in Terms of AI?

For the 6th episode of Data, Pharma, & Fika, Captario has the pleasure of welcoming Eric Daimler, an authority in Artificial Intelligence & robotics, with over twenty years of experience in the field as an entrepreneur, investor, academic researcher, and policymaker.


Join in together with our host Karl Rahn, and listen to Eric talk about how he defines AI, the importance of understanding AI governance, and how category theory within mathematics will transform the industry!




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About Eric Daimler Dr. Eric Daimler is an authority in Artificial Intelligence & Robotics with over twenty years of experience in the field as an entrepreneur, investor, academic researcher, and policymaker. Daimler has co-founded six technology companies. He is currently founder and CEO of Conexus AI, a company spun out of MIT, that addresses the largest unsolved problem in computer science. His previous firms had commercialized pioneering work in fields ranging from storage software systems to statistical arbitrage. A frequent speaker, lecturer, and commentator, he works to empower communities and citizens to leverage AI & Robotics for a more sustainable, secure, and prosperous future.

During the Obama Administration, Daimler worked with the White House Office of Science and Technology as a Presidential Innovation Fellow. In that role, he helped to drive the agenda for U.S. leadership in research, commercialization, and public adoption of AI & Robotics. With additional experience as a successful Venture Capitalist in Silicon Valley, his rich experience within the academic community includes serving as Assistant Dean and Assistant Professor of Software Engineering in Carnegie Mellon’s School of Computer Science. His academic research focuses on the intersection of Machine Learning, Computational Linguistics, and Network Science (Graph Theory), and now he is expanding that into Category Theory. He has a specialization in machine analysis of public policy and computational economics, helped launch Carnegie Mellon’s Silicon Valley Campus, and founded its Entrepreneurial Management program.

Having experienced AI in the widest possible perspective, ranging from the worlds of academia, business, and policy, Daimler has an extremely rare outlook from which to consider the potential problems concerning the future of AI, as well as to help frame the debate about possible solutions. Daimler studied at Stanford University, the University of Washington-Seattle, and Carnegie Mellon University, where he earned his PhD in computer science. He lives in San Francisco, CA.