Artificial Inteligence 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.
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
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.
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
SEPTEMBER 21, 2023
Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. In a recent report, he estimated that gen AI software revenues will grow from $3.7 In August, Meta continued releasing models.
CIO
DECEMBER 11, 2024
Weve evaluated all the major open source large language models and have found that Mistral is the best for our use case once its up-trained, he says. Another consideration is the size of the LLM, which could impact inference time. For example, he says, Metas Llama is very large, which impacts inference time.
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