According to a RAND study, 80% of AI projects fail, often due to misunderstandings about the problems they are meant to solve and insufficient data availability.
The key to avoiding AI project failures lies in focusing on real user problems rather than the allure of the latest technology. This includes understanding the infrastructure needed for successful deployment.
#ai-project-failure #data-management #technology-implementation #ai-challenges #infrastructure-needs
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