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A massive, multiyear initiative to transform corporate data at Caterpillar demonstrates what top executives must do to unlock the power of their data assets.

Organizations that resist the push to trade entry-level workers for AI may end up better off in the long term.

The push for control, flexibility, and sovereignty is redefining cloud strategy.

As enterprises turn to algorithmically generated data to sustain AI development, a second-order problem is emerging — one that threatens model accuracy, regulatory compliance, and strategic differentiation.

Some decisions are narrow and can be modeled; others are wide and require stakeholder alignment. Understand this distinction to use the type of AI that will be most helpful.