Five leading root causes of the #failure of #AI projects were identified

1) First, industry stakeholders often misunderstand — or miscommunicate — what problem needs to be solved using AI.
2) Second, many AI projects fail because the organization lacks the necessary data to adequately train an effective AI model.
3) Third, in some cases, AI projects fail because the organization focuses more on using the latest and greatest technology than on solving real problems for their intended users.
4) Fourth, organizations might not have adequate infrastructure to manage their data and deploy completed AI models, which increases the likelihood of project failure.
5) Finally, in some cases, AI projects fail because the technology is applied to problems that are too difficult for AI to solve.

Source: https://www.rand.org/pubs/research_reports/RRA2680-1.html

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