Decoding AI for Marketing Why Rule-Based Marketing Is Breaking
Feb 10, 2026
Konrad Feldman, co-founder and CEO of Quantcast and veteran in neural networks and programmatic advertising. He discusses the shift from rule-based systems to goal-driven AI. He explores how ML enables granular, real-time audience models. He highlights orchestration of multiple AI components and why measurement is the biggest bottleneck for marketing.
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Compute, Algorithms, And Data Drove AI
- AI progress required advances in compute, algorithms, and massive shared datasets to scale.
- The internet transformed from a data-sharing medium into the data itself, enabling billion-user AI interactions.
Learning Advertising From Scratch
- Quantcast began by solving publishers' lack of audience data and building a shared measurement clean room.
- Feldman and team recruited advertising experts off Craigslist and learned the industry basics in bars near their office.
Panels Failed The Long Tail
- Traditional panels couldn't scale to the internet's long tail, leaving most sites without audience data.
- Rich underlying transport data plus machine learning made individual-level and nuanced audience understanding possible.
