The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t
CIO Business Intelligence
JANUARY 20, 2023
Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]
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