In this episode of “Technically Human,” I sit down with Dr. Eric Daimler. We talk about one of the biggest technology problems facing us today—data deluge—and how new computational models and theories can help solve it and, Dr. Daimler weighs in on the gaps, differences, and possibilities for collaboration between policy, industry, and academia. And we talk about what a vision of “AI for Good” might look like in a world of increasingly infinite data.
Dr. Eric Daimler is a leading authority i...
In this episode of “Technically Human,” I sit down with Dr. Eric Daimler. We talk about one of the biggest technology problems facing us today—data deluge—and how new computational models and theories can help solve it and, Dr. Daimler weighs in on the gaps, differences, and possibilities for collaboration between policy, industry, and academia. And we talk about what a vision of “AI for Good” might look like in a world of increasingly infinite data.
Dr. Eric Daimler is a leading authority in robotics and artificial intelligence with over 20 years of experience as an entrepreneur, investor, technologist, and policymaker. He served under the Obama Administration as a Presidential Innovation Fellow for AI and Robotics in the Executive Office of President, as the sole authority driving the agenda for U.S. leadership in research, commercialization, and public adoption of AI & Robotics.
Dr. Daimler has incubated, built and led several technology companies recognized as pioneers in their fields ranging from software systems to statistical arbitrage. His newest venture, Conexus, is a groundbreaking solution for what is perhaps today's biggest information technology problem — data deluge.
As founder and CEO of Conexus, Dr. Daimler is leading the development of CQL, a patent-pending platform founded upon category theory — a revolution in mathematics — to help companies manage the overwhelming and rapidly growing challenge of data integration and migration.
His academic research has been at the intersection of AI, Computational Linguistics, and Network Science (Graph Theory). His work has expanding to include economics and public policy. He served as Assistant Professor and Assistant Dean at Carnegie Mellon's School of Computer Science where he founded the university's Entrepreneurial Management program and helped to launch Carnegie Mellon's Silicon Valley Campus. He has studied at the University of Washington-Seattle, Stanford University, and Carnegie Mellon University, where he earned his Ph.D. in Computer Science.
Dr. Daimler’s extensive career spanning business, academics and policy give him a rare perspective on the next generation of AI. Dr. Daimler sees clearly how information technology can dramatically improve our world. However, it demands our engagement. Neither a utopia nor dystopia is inevitable. What matters is how we shape and react to, its development.
This episode was produced by Matt Perry.
Our head of reseaarch is Sakina Nuruddin.
Art by Desi Aleman.
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