Artificial Intelligence Generative AI Vendor Management 
CIO
AUGUST 15, 2023
2023 has been a break-out year for generative AI technology, as tools such as ChatGPT graduated from lab curiosity to household name. But CIOs are cautiously evaluating how to safely deploy generative AI in the enterprise, and what guard-rails to put around it.
AWS Machine Learning - AI
NOVEMBER 7, 2024
While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.
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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
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.
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. We’re not short of generous opportunities afforded by our strategic suppliers and vendors,” says Battle, wryly. That seals the deal.
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
AUGUST 22, 2023
It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused. Digital transformation isn’t dead — it’s becoming table stakes.
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