<ul data-eligibleForWebStory="true"><li>AI projects, even those led by experts with large budgets and grand visions, often fail to progress beyond the pilot phase.</li><li>Recent research highlights four common themes in unsuccessful AI initiatives.</li><li>Key factors contributing to AI project failures include lack of essential team members and strategic planning.</li><li>To ensure the success of AI projects, it is crucial to focus on fundamental aspects like alignment, clarity, and collaboration.</li><li>The failure of AI projects is not typically due to technological limitations but rather a lack of attention to basics.</li><li>Before jumping into new AI tools or models, it's essential to ask key questions about problem-solving approaches and success criteria.</li></ul>

Why AI Product Development Projects Fail — And What You Can Learn from It

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