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1 Gene Baur: Confronting the Morality of Factory Farming 28:16
841: Andrew Ng on AI Vision, Agents and Business Value
Manage episode 453416301 series 2532807
In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
- (06:13) How to weigh up cost and effectiveness in new AI workflows
- (12:08) The crucial elements for building effective vision AI applications
- (15:34) How large vision models might transform global industries
- (18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents
Additional materials: www.superdatascience.com/841
995 פרקים
Manage episode 453416301 series 2532807
In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
- (06:13) How to weigh up cost and effectiveness in new AI workflows
- (12:08) The crucial elements for building effective vision AI applications
- (15:34) How large vision models might transform global industries
- (18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents
Additional materials: www.superdatascience.com/841
995 פרקים
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1 841: Andrew Ng on AI Vision, Agents and Business Value 26:21

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