Scaling AI requires more than just adopting tools, says IBM director
Summary
IBM highlights that scaling AI in enterprises requires more than buying tools. The biggest blockers are fragmented data, missing business context, and weak governance across multiple platforms. The article also frames AI as a way to create new revenue, not just cut costs, and points to IBM’s own internal gains and related products. It ends by stressing that companies need a balance between speed and control to turn AI experiments into operational value.
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