Points of View

10 imperative actions to get ahead of People, Power, and Politics in AI

Apr 26, 2019 Tapati Bandopadhyay

The biggest challenges in scaling up AI have nothing to do with the algorithms from innocent math geeks

Two-thirds of respondents to an HFS study on machine learning (ML) adoption indicate that enterprise AI leaders intend to retrain people on basic AI technologies. But, despite all these efforts and investments, scaling up adoption is still a big challenge for many enterprise AI leaders. Technology problems are rather straightforward, understandable, and easier to fix than issues that are softer than software. A line of code can normally be fixed within 24 hours, however, people, power distance, and politics—the 3Ps—are the biggest hindrances to successful AI adoption and scaling.


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