ost enterprises have invested millions in Snowflake, Databricks, and AWS — and still can't get their data AI-ready. That gap between infrastructure and execution is exactly the problem Joe Luchs spent 15 years watching pile up, first at BlueKai, then at Beeswax, then deep inside Amazon AWS — and it's what he left to solve when he founded Datalinx AI.
In this episode, Joe joins Corey Ferengul and Joe Zawadzki to break down why data readiness remains the single biggest bottleneck in enterprise marketing and AI adoption, why the model is only 10% of the work, and how Datalinx is compressing what used to be a two-year data engineering project into two weeks.
They get into the ad tech circle of life, the politics inside large enterprises that kill data projects before they start, why Databricks and Snowflake backed Datalinx instead of building the solution themselves, and what continuous decisioning powered by clean data actually looks like in practice.