Artificial Inteligence Data Generative AI Vendor Management 
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
JANUARY 15, 2024
If software vendors have their way, the answer is likely to involve more artificial intelligence. Sales statistics Two recent surveys concur that only a tiny minority of retailers have no plans to implement AI today. The other, by Nvidia, looked more specifically at generative AI, and found that 98% plan to invest in it.
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CIO
SEPTEMBER 21, 2023
AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Today’s foundational models are jacks-of-all-trades. This is where large language models get me really excited.
CIO
DECEMBER 12, 2023
Anthony Battle is leaning heavily on AI and IA — artificial intelligence and intelligent automation — to deliver digital transformation at luxury auto maker Jaguar Land Rover. There are plenty of software vendors willing to help with that — perhaps too many. There’s demand for it, too.
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
APRIL 1, 2024
Consider how fast generative AI went from avant-garde to ubiquity: At under two years, it may be a record. Those principles are data centric, platform first, cloud based, automation led, and zero trust (so that everything is secure from the start). That’s the black swan for gen AI,” Gupta says.
CIO
MARCH 26, 2024
In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Select the right partnership model. Double down on vendor management.
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