3:42
Getting from A to AI - Eric Gardner (Intel)
O'Reilly
9:31
Unlocking the value of your data (sponsored by IBM Watson) - Dinesh Nirmal (IBM)
2:41
Developing AI responsibly - Sarah Bird (Microsoft)
2:21
Enabling AI’s potential through Wafer-scale integration - Andrew Feldman (Cerebras Systems)
4:53
AI for Ophthalmology (sponsored by Dell Technologies) - Daniel Russakoff, Ph.D. (Voxeleron)
2:50
Going beyond supervised learning - Srinivas Narayanan (Facebook AI)
4:09
On gradient-based methods for finding game-theoretic equilibria - Michael Jordan (UC Berkeley)
3:05
Accelerate with purpose - Ananth Sankaranarayanan (Intel)
4:45
Practical insights into deep reinforcement learning - Sahika Genc (Amazon)
3:27
Open-endedness: A new grand challenge for AI - Kenneth Stanley (University of Central Florida)
42:39
Better Together Diversity Lunch (sponsored by Intuit)
11:49
Scaling the future of Machine Learning in enterprises, with Kurt Muehmel (Dataiku)
11:39
Creating a fair and trusted AI enterprise, with Dinesh Nirmal (IBM)
5:13
Overcoming challenges when implementing AI, with Eric Gardner (Intel)
10:26
Considerations for maturing AI initiatives from PoC to Production, with Saikumar Devulapalli (Dell)
