About this episode

The episode discusses the challenges and realities of data leadership in an AI-driven market.

Welcome to another episode of Data Debrief , the companion show to Driven by Data: The Podcast , where hosts Catherine Dowden-King and Kyle Winterbottom unpack Tuesday’s episode, share what’s been on their minds, and explore what’s really happening across the data and AI landscape. This week, Catherine and Kyle reflect on the conversation with Peter Everill, diving deeper into the themes that matter most right now, from decision-led data strategies to the realities of operating in an AI-hyped market. They cover: Why the market is becoming saturated with “AI-everything” messaging, and how vendors are losing differentiation The growing gap between activity and impact , and why many data teams are busy but not moving the needle Peter Everle’s decision-making framework, and why focusing on decisions that impact P&L is the only thing that really matters The cultural challenge of empowering teams to push back , and why most organisations still operate like a ticketing service desk The tension data leaders face between challenging the business vs protecting their role , especially under board-level pressure to “do AI” Why this AI cycle feels different from previous hype cycles, and…

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