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Most companies spent years building data dashboards. Bruno Aziza watched a customer admit that 18,000 of their 20,000 dashboards were used by fewer than eight people. The reason? Dashboards tell you what to know—not what to do. Now, as enterprises rush to build AI agents, Bruno sees the same mistake happening at scale. We're building systems that think, when what we really need are systems that act. Bruno Aziza is Group Vice President of Data, BI, and AI Strategy at IBM. He shares the frameworks that separate successful AI deployments from expensive experiments: Agent Plus and Agent Minus, the psychological traps of FOMO and FOMU, and why one of his customers now counts "50 humans and 150 agents" as their team. He also opens up about his blog "Nobody Cares" and his "How to Bruno" user manual—unconventional tools for scaling leadership in an age where your direct reports might be AI. What you'll learn: The Agent Minus and Agent Plus frameworks for building AI that actually works How to avoid the twin traps of FOMO and FOMU when adopting AI What changes (and what doesn't) about leadership in the agentic AI era This is a conversation about building AI systems that move at the speed of action—not the speed of analysis. Subscribe and Listen:🎧 Learn more at writer.com