Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more
More than 70% of corporate AI and analytics projects fail! Even after these corporations have spent very large investments, in time, talent, and technology. These expenditures were made with anticipation of great returns on investment. It is widely accepted that these projects should return great monetary or corporate benefits. And while there are examples of such stories, most AI and analytics projects and programs are coming up short. So why do some programs succeed and others fail?
This talk will briefly discuss the 3 organizational foundations for AI and Analytics success:
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