The Data Culture Podcast Sid Atkinson and Lee Harper

Software is eating the world (or used to, that was soooo 2011). AI is eating the world now at a blistering pace, and while a lot of it feels like hyperbole, and in some cases faked gains (Devin), many initiatives in AI & data are very real, and organizations are adopting and adapting their cultures to include these gains and take advantage of what they enable.

Within this astounding pace of change, we have lots of anxiety on learning and adapting. How do I stay current? Is RAG even going to be a thing a year from now?

Want some AI with your coffee? It seems anywhere you turn, AI is infused into every interaction, decision, and experience, so it makes sense that your organization should upgrade (or create) your AO strategy. But how? CDO Peggy Tsai offers incredibly practical advice on AI Strategy for today's Chief Data Officers.

"What's in a name?" Shakespeare's romantic notion that naming something is irrelevant may work in purposes of his plays, but for the data world, naming, and conformance on the meaning of names, is critical. Amit Pahwa has spent a good portion of his career dedicated to making our data lives easier, all by focusing on that most basic of tasks: naming things.

What is most useful for making decisions? Leaders and business owners face decisions almost every moment of the day. We aspire to be an entirely data driven world, so where does this leave 'gut' or intuition? Seyi Fabode helps us explore these questions; be prepared for some philosophical and practical insights.

Mergers and acquisitions have a high failure rate in terms of hitting the envisioned objectives. There are many root causes, but lack of alignment on operating models is definitely on the list. Jeremy Kingry discusses how Argano quickly analyses a target acquiree using data and enforces aligned operating models, using data!

A data strategy is an AI strategy. Subroto has 20+ years in data, innovation, and creating companies; he walks us through several topics that everyone should pay attention to in assembling their AI and data strategy.