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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

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] A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place. 1] [link]. [2]

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