AI Across Industries: The Current Status and Case Studies from Japan

Moderator:
David E. Weinstein
Director, CJEB; Carl S. Shoup Professor of the Japanese Economy, Columbia University
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What you'll learn: 

• Examples of AI applications in industries
• Processes at Preferred Networks, Inc. and Matlantis Corporation: from R&D to Operations
• The impact of recent AI and computing infrastructure progress
• The future outlook of the AI industry, including opportunities

Biography:

Daisuke Okanohara is the Chief Technology Officer of Preferred Networks (PFN), which he co-founded in March 2014 to advance AI toward practical use across various industries. He currently leads PFN’s research and business efforts for its core technologies, including generative AI, the PLaMo™ large language model, and the Matlantis™ universal atomistic simulator. Okanohara also serves as the Chief Executive Officer of Matlantis, a PFN subsidiary that markets the Matlantis™ universal atomistic simulator for materials discovery. Okanohara co-founded PFN’s predecessor Preferred Infrastructure with PFN CEO Toru Nishikawa and others when he was a graduate student in 2006. He received a Ph.D degree in Computer Science from the University of Tokyo in 2010. He has authored and co-authored several books in Japan on AI, deep learning, diffusion models and foundation models.

Admission and Contact: 

You must register to attend this event in person.

Special Notes:
● This event is limited to current Columbia Business School affiliates (students, faculty, researchers, and staff). 
● This event will not be livestreamed. 
● Please be advised that this event may be photographed, so your image may appear on our website later. If this is an issue, please let us know.
● Please bring a government-issued ID or Columbia University ID to access Columbia Business School

If you have questions about the event, please contact us at [email protected].