The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t
CIO
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. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.
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