Next in Media talked with Cognitiv CEO Jeremy Fain about what ad industry execs really need to understand about the difference between LLMs and Deep Learning and Computer Vision -and how all this stuff is actually going to shake up advertising - or not.

Takeaways

• Deep learning is a powerful tool in performance advertising, allowing for more efficient and effective targeting of impressions.

• Deep learning differs from traditional machine learning in its ability to generalize and understand complex patterns and contexts.

• The death of cookies presents challenges for the industry, but deep learning algorithms can still deliver strong performance by leveraging other signals and data.

• Transparency and customization are key factors in successful media buying, and deep learning can provide insights and analytics to support these efforts.

Chapters

00:00 - Introduction and Background

00:31 - The Origins of Cognitiv

01:27 - Understanding Deep Learning

04:33 - The Power of Deep Learning

06:01 - The Role of Generalization in Deep Learning

09:24 - The Focus on Performance Advertising

10:13 - The Evolution of Deep Learning

11:19 - Large Language Models and their Training

15:44 - The Use of Deep Learning in Media Buying

21:16 - The Implications of the Death of Cookies

25:07 - The Role of AI in Media Buying

27:17 - The Future of Generative AI

31:06 - The Impact of the Cookie's Demise

35:35 - Transparency in Media Buying

Guest: Jeremy Fain

Host: Mike Shields

Sponsored by: Epsilon

Produced by: Fresh Take

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