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841: Andrew Ng on AI Vision, Agents and Business Value

UNLIMITED

841: Andrew Ng on AI Vision, Agents and Business Value

FromSuper Data Science: ML & AI Podcast with Jon Krohn


UNLIMITED

841: Andrew Ng on AI Vision, Agents and Business Value

FromSuper Data Science: ML & AI Podcast with Jon Krohn

ratings:
Length:
26 minutes
Released:
Dec 3, 2024
Format:
Podcast episode

Description

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 [email protected] 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
Released:
Dec 3, 2024
Format:
Podcast episode

Titles in the series (100)

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.