TAKEAWAY - AI Appetite Is Easy, Digestion Is Hard with Diana Wu David

Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo, recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems. In this episode, Mohammed lays out a framework for talent in the AI era. Automation is already taking over the known, repeatable work. What remains is the unknown, and that takes people who keep learning and who take initiative. The framework plots people on two dimensions, learning and drive. You have Doers, Philosophers, Commanders, Hackers, Strategist, Innovators, Game changers and more. Topics discussed Automation and the innovation engine The known versus the unknown Two dimensions of talent The talent quadrants The multiplier effect Commanders and scaling Environments that don’t build initiative Rarity of high-potential people Investing in human potential The human mind as the limit Critical thinking through discomfort See omnystudio.com/listener for privacy information.

This is the takeaway episode with Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo. He recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems. See omnystudio.com/listener for privacy information.

How do leaders preserve executive trust and credibility? Dora Boussias, executive advisor and former data executive returns to the podcast to unpack this question. Her answer: protect your judgement. In this episode, Dora presents the trust equation that most leaders grew up with: expertise + track record + judgment. Dora’s point is that the equation still holds, but each part now means something different. Nobody will out-know AI, so expertise is less about what you know and more about asking the right questions and challenging assumptions. A track record is harder to read when you can’t tell whether a good result came from you or from the model. Judgment carries the most weight now, and it’s the part leaders are most likely to hand off without noticing. Topics discussed: Trust equation under AI Expertise is changing Track record is harder to read Judgment carries the most weight Decision fog Speed isn’t everything Ford’s rehiring of experienced engineers Business fundamentals matter more Alignment and accountability are cross-functional Real value is “so what” See omnystudio.com/listener for privacy information.

This is the takeaway episode with Dora Boussias, executive advisor and former data executive. We unpack the question "How do leaders preserve executive trust and credibility?" Her answer: protect your judgement. In this episode, Dora presents the trust equation that most leaders grew up with: expertise + track record + judgment. Don't miss it! See omnystudio.com/listener for privacy information.

Agents will build data infrastructure at every layer and become its primary consumers. Tristan Handy, President and Co-founder of Fivetran / dbt Labs joins Juan and Tim where we unpack the big shift that is happening: teams need to move from working in the process (picking up individual tickets) to working on the process (building the factories that handle those tickets). In this episode, we break down what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place. Topics discussed: Agents as builders and consumers Data roles are collapsing From working IN to working ON Loop building as the competitive advantage Business understanding beats technical specs From humans in the loop to humans out of the loop Open components over vendor stacks Defining truth is a political problem Data observability becomes business observability Real-time becomes necessary Humans delegate outcomes, set goals, sit in control See omnystudio.com/listener for privacy information.