Setting AI Projects Up for Success

Unfortunately, you can’t set up your organization’s artificial intelligence projects like just any other IT project. By their nature, AI endeavors are quite different and suffer high failure rates. But there are proven approaches you can take to increase your odds of success. Iavor Bojinov, assistant professor at Harvard Business School and former LinkedIn data scientist, breaks down five critical steps for an AI project to turn into an effective product: selection, development, evaluation, adoption, and management. He’s the author of the HBR article “Keep Your AI Projects on Track.”

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[HBR IdeaCast podcast series]

HBR IdeaCast
Episode 943

Setting AI Projects Up for Success

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A conversation with HBS professor Iavor Bojinov on what leaders need to know.

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December 05, 2023

Unfortunately, you can’t set up your organization’s artificial intelligence projects like just any other IT project. By their nature, AI endeavors are quite different and suffer high failure rates. But there are proven approaches you can take to increase your odds of success. Iavor Bojinov, assistant professor at Harvard Business School and former LinkedIn data scientist, breaks down five critical steps for an AI project to turn into an effective product: selection, development, evaluation, adoption, and management. He’s the author of the HBR article “Keep Your AI Projects on Track.”

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This article is about AI AND MACHINE LEARNING

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Related Topics:

• Analytics and data science

• Experimentation

• IT management

• Project management

• Strategy

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