Wednesday, June 7
The potential of artificial intelligence to spur transformative change across domains—including transportation, healthcare, government, education, robotics, media, advertising, and social–are largely made possible by training, validating and augmenting machine learning with people. If AI is fire consuming software, human training data is the vital oxygen that feeds it. Processors, algorithms and frameworks are becoming increasingly potent and pervasive, but AI models still need accurate, precise, structured training data to see, hear, talk and “think” like people. The resulting human-machine learning loops are powerful, but challenging. As Leo Cherne said, “The computer is incredibly fast, accurate, and stupid. Man is incredibly slow, inaccurate, and brilliant.” Come hear from a diverse group of accomplished AI leaders as they discuss their latest insights into this pivotal, strategic area. What are the best approaches; what are the dangers? What does it take to train AI to be really good, and how will this evolve in the next 5 years?
Matt Bencke, CEO & Co-founder, MightyAI
Roz Ho, Senior Vice President & General Manager, Consumer Metadata, TiVo
Amir Khosrowshahi, VP and CTO, Artificial Intelligence Products Group (AIPG), Intel
Jim McHugh, Vice President & General Manager, NVIDIA
Moderator: Robin Murdoch, Global Industry Managing Director, Software & Platforms, Accenture
– Registration: 5:30 PM
– Buffet: 6:00 PM
– Program: 7:00 PM
Hyatt Regency Santa Clara
5101 Great America Parkway
Santa Clara, CA 95054
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