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

126: Michael Rumiantsau: AI’s role in democratizing data narratives for marketers

Michael’s on a mission to make data insights accessible and useful for everyone, not just experts, by leveraging AI to provide tailored, easy-to-understand insights that boost decision-making. This episode unpacks the future of Business Intelligence, automating insights with LLMs, and the importance of anomaly detection. Michael also discusses how proprietary data gives companies a competitive edge in the AI market.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

116: Kevin Hu: How data observability and anomaly detection can enhance MOps

Dr. Kevin Hu gives us a masterclass on everything data. Data analysis, data storytelling, data quality, data observability and data anomaly detection. We unpack the importance of balancing data perfection with actually doing the work of activating that data. He highlights data observability and anomaly detection as a key to preempting errors, ensuring data integrity for a seamless user experience. More