
Governed Data for Agentic AI
Feeling the pressure of AI hype? You're not alone. While many companies look for a quick “AI paint job,” Chris Willis, Chief Design Officer of Domo, and his guests share a more grounded perspective.
The podcast has moved!
Episode 4: The State of Agentic AI
Mark and Chris cut through the hype and share a clearer way to think about the real state of agentic AI. They break down everything from the productivity "J-curve" to why mindset beats tools to what actually makes an agent trustworthy: being able to see what it does and stop it.
Episode 3: Tokenmaxxing Is Over: A Practical Guide to AI Efficiency
Chris and Joe unpack “tokenmaxxing” and share a better framework for thinking about AI usage, token spend, and workflow building. They break down strategies from model selection to context management that are helping actual Domo customers build efficient AI systems that prioritize outcomes over token spend.
Episode 2: Why 95% of AI Prototypes Never Ship and What to Do About It
Chris and Cody share Domo’s proprietary 6 P’s framework for helping organizations build AI solutions that solve real, pressing pain points—and get out of the prototype purgatory that so many are stuck in. They discuss how to navigate the AI hype cycle, the perils of premature prototyping, and why human judgement still reigns, even as the AI gets more powerful.
Episode 1: Building Agentic AI in a Governed Data Environment
Join them as they reveal why a strong, governed data foundation, a cultural shift within your organization, and getting back to "first principles" are what truly unlock AI's potential. They will discuss how to move past risky guesses by using AI as a powerful assistant to elevate human judgment in everyday business challenges, what they call the "messy middle," and why a solid "context stack" is now more critical than ever.
