219: Elizabeth Dobbs: Inside Databricks’ stack with 3 AI agents, 1 lakehouse, and 6 years of data work

Liz spent 6 years at Databricks building the data infrastructure before deploying any AI on top of it. She’s shipped 3 production agents (Marge, Tagatha, and Atlas) and she’ll tell you exactly what broke first and why the team kept going anyway. You’ll hear how a marketing lakehouse becomes the foundation that makes every agent actually work, why the agent label debate is a distraction.More

174: Joshua Kanter: A 4-time CMO on the case against data democratization

Joshua spent the earliest parts of his career buried in SQL, only to watch companies hand out dashboards and call it strategy. Teams skim charts to confirm hunches while ignoring what the data actually says. He believes access means nothing without translation. You need people who can turn vague business prompts into clear, interpretable answers.More

125: Michele Nieberding: Customer data infrastructure and server-side data processing

Michele takes us on a broad journey across job hopping, learning technical martech products, preparing for the cookie apocalypse and diving deep into the world of server side data processions and tag management. She emphasizes the importance of ethical marketing practices, like enhancing first-party data and focusing on consent management, crucial for building consumer trust.More

95: Battle of the CDPs: Packaged vs. Composable, 10 Experts Weigh In

The debate between packaged and composable CDPs boils down to a trade-off between out-of-the-box functionality and tailored flexibility, with industry opinions divided on what offers greater long-term value. Key factors to consider are company needs and data team size. But if you do decide to explore the composable route, consider tools that focus on seamless integration and adaptability rather than those who claim to replace existing CDPs.More