One signal

PwC Australia leaders say many of their clients are still at an early stage of AI adoption, and argue that businesses should start with useful outcomes rather than deploy AI for its own sake.

Their practical point is familiar, but worth repeating: supply-chain AI for forecasting, supplier-risk monitoring and inventory optimisation depends on having sound data foundations first. That is the leaders’ assessment in an AI Magazine interview, not a measured survey of adoption. Still, it puts a sensible test to the enterprise AI rush: is the groundwork ready, or is the technology getting ahead of the business case?

Discuss: Should companies delay AI projects until their data foundations are solid, or start with limited pilots and fix the foundations as they go?

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