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

CIO Business Intelligence

It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3] A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place.

Analytics 129
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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Focus on a specific business problem to be solved. To learn more, read our white paper, “Moving AI solutions from concept to production.”.