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3:36
The Programmer's Mind - Jessica McKellar (Pilot)
2018-10-05 18:56:47 O'Reilly
5:29
AI and ML are changing traditional business with Dhritiman Dasgupta (Cisco)
2018-10-04 23:37:55 O'Reilly
6:49
Open source is allowing companies access powerful software with Doug Cutting (Cloudera)
2018-10-04 23:22:56 O'Reilly
5:22
Technical convergence in enterprise database software with Rick Negrin (MemSQL)
2018-10-04 23:17:23 O'Reilly
12:43
Combining algorithms and quality data to build better AI platforms with Ziya Ma (Intel)
2018-10-04 23:14:45 O'Reilly
4:5
Breaking down the buzzwords to get value from AI, ML, and deep learning with Ian Swanson (Oracle)
2018-10-04 23:11:30 O'Reilly
8:30
ML and AI systems will make mistakes with Kimberly Nevala (SAS)
2018-10-04 23:08:32 O'Reilly
8:16
Data science evolution in the past ten years with Hilary Mason (Cloudera)
2018-10-04 22:44:52 O'Reilly
7:33
Using machine learning to infuse data operations with Madhu Kochar (IBM)
2018-10-04 22:26:19 O'Reilly
10:38
Four Success Factors for Building your AI Business (sponsored by IBM Watson) - Manish Goyal (IBM)
2018-10-02 23:55:31 O'Reilly
6:42
Customized ML for the Enterprise (sponsored by Google Cloud) - Levent Besik (Google)
2018-09-25 00:53:53 O'Reilly
3:37
Black Box: How AI will Amplify the Best and Worst of Humanity - Jacob Ward (CNN | Al Jazeera | PBS)
2018-09-24 21:57:10 O'Reilly
7:22
Democratizing AI with intelligence API's and AutoML with Levent Besik (Google)
2018-09-24 18:41:25 O'Reilly
1:38
AI and Security: Lessons, Challenges, and Future Directions - Dawn Song (UC Berkeley)
2018-09-22 00:25:05 O'Reilly
5:1
Decoding Regulations Using Machine Learning (sponsored by IBM) - Dinesh Nirmal (IBM)
2018-09-21 21:13:47 O'Reilly
12:26
Power a Better Future (sponsored by MemSQL) - Drew Paroski (MemSQL)
2018-09-21 20:58:26 O'Reilly
4:12
Accelerating AI at Intel with Huma Abidi
2018-09-21 18:16:01 O'Reilly
3:58
Quantifying Forgiveness - Julia Angwin (@JuliaAngwin)
2018-09-20 22:09:42 O'Reilly
13:52
Jupyter Notebooks and the Intersection of Data Science - David Schaaf (Capital One)
2018-09-20 21:37:22 O'Reilly
3:38
The Breadth of AI Applications: The Ongoing Expansion - Peter Norvig (Google)
2018-09-20 20:01:22 O'Reilly
7:35
Using AI to create inexpensive and intelligent prosthetics with Joseph Sirosh (Microsoft)
2018-09-20 02:01:27 O'Reilly
6:9
Contextual intelligence for ML and AI with Akhilesh Tripathi (Digitate)
2018-09-20 01:42:48 O'Reilly
14:11
The Future of Data-driven Discovery in the Cloud - Ryan Abernathey (Columbia University)
2018-09-20 01:39:52 O'Reilly
9:31
Automation of decisions to augment efficiency in the enterprise with Amr Awadallah (Cloudera)
2018-09-20 01:39:40 O'Reilly
2:34
Sound Design and the Future of Experience - Amber Case (MIT Media Lab)
2018-09-20 01:37:15 O'Reilly
6:16
Building AI systems with trust imperatives with Kishore Durg (Accenture)
2018-09-20 00:19:52 O'Reilly
2:26
Brain-based Human-machine Interfaces - Amanda Pustilnik (University of Maryland School of Law)
2018-09-19 23:52:57 O'Reilly
6:42
AI, ML, and the IoT will Destroy the Data Center (sponsored by Cisco) - DD Dasgupta (Cisco)
2018-09-19 01:14:56 O'Reilly
6:37
The Data Imperative - Ben Sharma (Zaloni)
2018-09-18 19:42:29 O'Reilly
3:38
Practical ML Today and Tomorrow - Hilary Mason (Cloudera Fast Forward Labs)
2018-09-18 01:06:41 O'Reilly
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