Most AI initiatives fail despite working technology. We explore why 37% of organizations struggle with unclear AI strategies and what separates successful companies from the rest.Key Points:McKinsey: Companies with clear AI strategies are 2.3x more likely to succeed80% of AI project delays come from poor data qualityThe "tool-first" trap: selecting technology before defining business needsStrategy precedes success in AI transformationMain Takeaways:Start with business objectives, not technologyAudit digital infrastructure before AI deploymentMost failures are strategic, not technical problems

Ver todos los episodios