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
