Generative AI Research Vendor Management 
CIO
MARCH 11, 2025
This could be the year agentic AI hits the big time, with many enterprises looking to find value-added use cases. A key question: Which business processes are actually suitable for agentic AI? Its essential to align the AIs objectives with the broader business goals. Agentic AI needs a mission.
CIO
DECEMBER 30, 2024
Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.
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CIO
NOVEMBER 1, 2023
Most CIOs have begun exploring generative AI to make sure they stay relevant. After experimenting with both GitHub copilot and ChatGPT for over six months, I’m amazed by the pace at which generative AI is evolving,” says Yves Caseau, global CIO of Michelin. A boost to traditional AI While generative AI is new, AI is not.
CIO
JUNE 6, 2024
The overhype of generative AI was unavoidable last year, yet despite all the distraction, unproven benefits, and potential pitfalls, Dana-Farber Cancer Institute CIO Naomi Lenane didn’t want to ban the technology outright. But allowing free, unfettered use of the public gen AI platforms was not an option.
CIO
JANUARY 3, 2024
Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. Synthetic media, which includes AI-generated text, images, audio, and video, grew by 222% compared to the previous year. And the AI writing assistant category grew by 177%.
CIO
APRIL 1, 2024
Consider how fast generative AI went from avant-garde to ubiquity: At under two years, it may be a record. Recent research found that application modernization took an average of 16 months. That’s the black swan for gen AI,” Gupta says. New tech moves from bleeding edge to mainstream at an ever-increasing pace.
CIO
DECEMBER 11, 2024
Closed source models, backed by well-funded companies, can push the boundaries of whats possible in AI. They can provide highly refined, specialized solutions that benefit from significant investment in research and development, he says. But it might not technically be open source, and the distinction matters.
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