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The 6 Disciplines Companies Need to Get the Most Out of Gen AI

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Some observers are beginning to question whether gen AI will produce enough value to exceed its costs. It can, but extracting economic value from gen AI requires several different types of disciplined capabilities. Unfortunately, most companies lack these. The good news is they can develop them.

Specifically, companies should invest in behavioral change, controlled experimentation, measurement of business value, data management, human capital development, and systems thinking. Once these capabilities are in place, companies should focus on picking the right projects for gen AI. They should do this by 1) funding the responsible rebels, 2) choosing projects that are quick, practical wins, and 3) linking those projects to the company’s identity.

HBR Learning’s online leadership training helps you hone your skills with courses like Digital Intelligence . Earn badges to share on LinkedIn and your resume. Access more than 40 courses trusted by Fortune 500 companies.Thomas H. Davenport is the President’s Distinguished Professor of IT and Management at Babson College, a research fellow at the MIT Center for Digital Business, co-founder of the International Institute for Analytics, and a Senior Advisor to Deloitte Analytics.

 

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