Let’s face it: AI investments are just that — investments, where substantial costs in people, infrastructure, data (collection, hygiene), processes and tools are needed to realize the benefits of the AI deployment, be they efficiency, cost reduction, or revenue and growth.
Universally, AI is recognized as a complex and often costly undertaking. For those reasons, AI is considered, but often not adopted, as a key lever in larger business transformation programs. Gartner, McKinsey and others have found that anywhere between 40% to 50% of enterprises planned to deploy or have deployed AI technologies by the end of 2020. This AI adoption curve includes companies undertaking “proofs of concept” as well as those deploying AI on use cases “at scale.”
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