6 machine learning success stories: An inside look

IT leaders share how they are using artificial intelligence and machine learning to generate business insights.

10 machine learning success stories: An inside look
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Artificial intelligence (AI) and machine learning (ML) technologies, once derided as either skunkworks or science fiction, have become mainstream. More enterprises are harnessing the software, which mimics the behavior of the human mind, to woo customers and bolster business operations.

Spending on AI systems will top $97.9 billion in 2023, nearly triple the $37.5 billion spent through 2019, according to IDC. "Artificial Intelligence (AI) has moved well beyond prototyping and into the phase of execution and implementation," says Marianne D’Aquila. “Strategic decision-makers across all industries are now grappling with the question of how to effectively proceed with their AI journey.”

Yet seven out of 10 companies report minimal or no impact from AI, according to a survey of 2,500 executives conducted by MIT Sloan Management Review and Boston Consulting Group (BCG). One major hitch: Many AI projects start within IT without input from the business, says BCG managing partner Shervin Khodabandeh, who co-authored the research.

That isn’t stopping companies from trying their hands at the emerging technology. Here CIOs who are implementing AI and ML discuss their work and share practical advice.

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