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To solve the problem, the company turned to gen AI and decided to use both commercial and opensource models. Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO. So we augment with opensource, he says. Right now, the company is using the French-built Mistral opensource model.
Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre. The best use case that seems to work well is in repository management, where itll go through and do bug fixes of code repositories. For example, he says, 10-year-old source code might no longer compile properly on a modern computer.
Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors. Were going to start seeing it.
In July, New York City started enforcing new rules about the use of AI in hiring decisions. The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. Open-source AI Opensource has long been a driver of innovation in the AI space. Then gen AI came out.
Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. Megan Amdahl, SVP of partner alliances and operations at Insight, an Arizona-based solution integrator, says her company evaluates generative AI vendors both for internal use and on behalf of its clients.
Regardless of the nature of the projects and deliverables, or whether customers are internal or external to the organization, CTOs and now CIOs recognize they must provide continuous value if they are to stay relevant, says Phil Purdy, acting CTO of Australian-based IMRnext. People perceive it as the enemy of thoughtful planning.
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