Next in Media

So you've been pretending to understand AI

Episode Summary

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 Cognitive 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

Episode Notes

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