<ul><li>The rise and fall of enterprise AI is not due to broken technology, but rather strategic misalignment, poorly framed problems, and a lack of rigor in execution.</li><li>The success of AI projects depends on solving what truly matters for someone at the right time, with a structured process and a focus on using data to drive decisions.</li><li>AI governance is essential, as AI is already shaping various sectors such as hiring, healthcare, finance, and education. However, most companies lack a framework for AI governance and only a small percentage of universities teach it.</li><li>Consumer AI and enterprise AI differ significantly, and the virality of tools like ChatGPT has created misleading expectations in business environments. The future of AI is not just technological, but also relies on human involvement and augmentation rather than automation.</li></ul>

The Rise and Fall of Enterprise AI: How to Get Value Out of It Again

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