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20:40
AI isn't magic. It’s computer science. Robert Thomas (IBM), Tim O'Reilly (O'Reilly Media)
2019-09-27 20:20:38 O'Reilly
10:57
Recent trends in data and machine learning technologies - Ben Lorica (O'Reilly Media)
2019-09-26 23:44:31 O'Reilly
11:49
Scaling the future of Machine Learning in enterprises, with Kurt Muehmel (Dataiku)
2019-09-25 04:31:37 O'Reilly
10:9
Increasing AI productivity and efficiency (sponsored by Habana Labs) - Eitan Medina
2019-09-24 21:00:42 O'Reilly
4:37
Data orchestration for AI, big data, and the cloud - Haoyuan Li (Alluxio)
2019-09-24 20:59:55 O'Reilly
2:30
From the Trenches with Rebecca Parsons (ThoughtWorks)
2019-09-24 20:59:03 O'Reilly
4:46
How do we heal? Alex Qin (Code Cooperative)
2019-09-24 20:58:07 O'Reilly
8:52
The cloud native elephant in the room, Bob Quillin (Oracle Cloud Infrastructure)
2019-09-24 20:57:02 O'Reilly
2:37
Cultivating production excellence, Liz Fong-Jones (Honeycomb)
2019-09-24 20:56:03 O'Reilly
4:21
Architect as storyteller Nathaniel Schutta (Pivotal)
2019-09-24 20:55:04 O'Reilly
3:22
Cultivate your personal design heuristics Rebecca Wirfs-Brock (Wirfs-Brock Associates)
2019-09-24 20:54:06 O'Reilly
3:54
Security and deception: Lessons from a professional liar Michael Carducci (Mago:Tech)
2019-09-24 20:53:18 O'Reilly
4:30
Channel into the universe of eventually perfect distributed systems Lena Hall (Microsoft)
2019-09-24 20:52:28 O'Reilly
3:33
The SRE I aspire to be Yaniv Aknin (Google Cloud)
2019-09-24 20:51:24 O'Reilly
4:59
Community projects inform enterprise products, Lachlan Evenson and Bridget Kromhout
2019-09-24 20:49:38 O'Reilly
3:6
From puzzles to products, Jessica Kerr (Atomist)
2019-09-24 20:47:55 O'Reilly
10:26
Considerations for maturing AI initiatives from PoC to Production, with Saikumar Devulapalli (Dell)
2019-09-24 20:39:03 O'Reilly
9:48
Safe and smarter driving, powered by AI (sponsored by Amazon Web Services) - Lei Pan (Nauto)
2019-09-23 21:12:13 O'Reilly
4:9
On gradient-based methods for finding game-theoretic equilibria - Michael Jordan (UC Berkeley)
2019-09-20 00:55:51 O'Reilly
4:45
Practical insights into deep reinforcement learning - Sahika Genc (Amazon)
2019-09-19 22:45:38 O'Reilly
3:27
Open-endedness: A new grand challenge for AI - Kenneth Stanley (University of Central Florida)
2019-09-19 03:25:41 O'Reilly
3:5
Accelerate with purpose - Ananth Sankaranarayanan (Intel)
2019-09-18 23:38:09 O'Reilly
5:13
Overcoming challenges when implementing AI, with Eric Gardner (Intel)
2019-09-18 21:55:07 O'Reilly
11:39
Creating a fair and trusted AI enterprise, with Dinesh Nirmal (IBM)
2019-09-18 21:54:48 O'Reilly
2:50
Going beyond supervised learning - Srinivas Narayanan (Facebook AI)
2019-09-18 21:14:53 O'Reilly
4:53
AI for Ophthalmology (sponsored by Dell Technologies) - Daniel Russakoff, Ph.D. (Voxeleron)
2019-09-18 02:55:16 O'Reilly
9:31
Unlocking the value of your data (sponsored by IBM Watson) - Dinesh Nirmal (IBM)
2019-09-17 22:03:29 O'Reilly
2:21
Enabling AI’s potential through Wafer-scale integration - Andrew Feldman (Cerebras Systems)
2019-09-17 19:50:03 O'Reilly
2:41
Developing AI responsibly - Sarah Bird (Microsoft)
2019-09-17 02:33:29 O'Reilly
3:42
Getting from A to AI - Eric Gardner (Intel)
2019-09-16 20:52:46 O'Reilly
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