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Understanding Why AI Projects Fail – Lessons for Social Housing*

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The Root Causes of Failure for AI Projects report by RAND explores common challenges that lead to AI project failures. It identifies key obstacles such as poor data quality, unclear objectives, and lack of infrastructure—issues that resonate strongly with social housing providers looking to integrate AI. Understanding

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This resource offers general information only and is not legal, financial or professional advice. See Disclaimer details . © DASH – Demystifying AI for Social Housing.

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