AI Industry Innovations , AI Technologies , Banking & Finance

How AI and 'Computer Vision' Could Drive the Business World

Most generative AI use cases focus on workforce productivity - such as summarizing a 50-page report in minutes or creating event invitations in multiple languages. But that's changing, said Arun Chandrasekaran, distinguished vice president and analyst at Gartner, as companies begin to apply AI tools in new areas such as research and development, prototyping and code writing.

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Consumers have embraced the field of "computer vision" using tools such as DALL·E and Midjourney to create entertaining, high-quality images from text, but the business world is not far behind, he predicted.

"This has implications in industries like automotive, agriculture, oil and gas, insurance, and so on where they're trying to train models for object detection or for product quality - for example, in manufacturing, where these computer vision models can be very helpful. Software engineering is another domain where, increasingly, generative AI tools are emerging to help developers write code better and faster."

In this video interview with Information Security Media Group, Chandrasekaran discussed:

• The evolution of use cases for generative AI and large language models;
• Where the AI market is headed;
• Why CIOs should be cautiously optimistic about generative AI.

At Gartner, Chandrasekaran focuses on emerging technologies and trends, with an emphasis on artificial intelligence and cloud computing. He advises executive and IT leaders, including boards of directors, CEOs, CIOs, CTOs and their direct reports.