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Now for the hard part: Deploying AI at scale

January 31, 2022

The enterprise is quickly discovering the many ways AI can streamline and improve processes, but so far, most of these successes are happening at limited scale. Like any technology, AI functions well in controlled situations, but pushing it far and wide throughout an increasingly diversified data ecosystem is not without its perils.

At scale, the enterprise is no longer a cohesive, fully integrated digital environment, but a loose collection of processes, platforms, and cultures. Of course, AI promises to change all that (or at least paper it over), but in a Catch-22, it really can’t function at scale until it achieves scale — meaning there is still a lot of work to do before organizations can push the value proposition of AI to its limits.

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