In this episode of Adspeak by ADWEEK, Jeremy Fain, co-founder and CEO of Cognitiv, explores how deep learning is reshaping the future of advertising.
Jeremy explains why the true power of AI in marketing comes from leveraging massive data sets, predictive algorithms, and real-time optimization, not just generative tools.
He breaks down how marketers can use first-party data, granular audience signals, and continuous learning loops to improve targeting, personalize creative, and drive stronger campaign outcomes.
From predicting creative performance before impressions are purchased to unlocking incremental gains at scale, Jeremy shares how brands can turn AI into a competitive advantage and help marketing teams operate more effectively in an increasingly data-driven advertising landscape. What you’ll learn:
- Why deep learning is fundamentally a big data problem, not a creative tool
- How to position media as the middle, not the end of your marketing process
- The log-level data framework for maximum algorithm performance
- How to predict creative performance before you buy the impression
- The competitive advantage of 3% incremental improvements at scale
- How to deploy AI as an efficiency multiplier, not a headcount reducer
About the guest:
Jeremy Fain is the co-founder and CEO of Cognitiv and a thought leader in AI and deep learning applications for advertising, known for his expertise in leveraging machine learning to optimize marketing performance and campaign targeting.
With a background in interactive marketing and experience at firms like Digitas, he has pioneered approaches to applying deep learning algorithms specifically to advertising data, moving beyond generative AI to unlock the full potential of first-party data and consumer behavior prediction.
His work at Cognitiv has demonstrated measurable improvements in campaign efficiency and creative performance, making this conversation essential for marketing leaders seeking to stay competitive through data-driven innovation and algorithmic optimization.