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Don't abandon BI and data analytics in the rush toward AI

By

Stephen Pritchard

19h ago· 6 min readenInsight

Summary

The article argues that despite the massive surge in AI spending (projected at $2.52 trillion by Gartner), enterprises should not abandon business intelligence (BI) and data analytics. It emphasizes that effective data management and analytics are even more critical now as organizations seek real value from their AI investments. The piece contrasts the enormous AI spending with the ~$40 billion global BI market, warning against neglecting foundational data practices in the rush toward AI adoption.

Key quotes

· 3 pulled
Data was once the 'new oil'. But artificial intelligence, and above all generative AI, look to be eclipsing data analysis projects for enterprises.
Gartner, for example, predicts that spending on AI will reach a staggering US$2.52tn this year.
Analytics and effective data management are even more important as enterprises look for value from their AI investments
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Analytics and effective data management are even more important as enterprises look for value from their AI investments

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