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Key considerations to cancer institute’s gen AI deployment

CIO Business Intelligence

The governance group developed a training program for employees who wanted to use gen AI, and created privacy and security policies. We have it open and available, and people need to sign up to use it after going through some required training,” she says. And training an LLM from scratch was too cost prohibitive.

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. Open-source AI Open source has long been a driver of innovation in the AI space.

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3 things CIOs can do to make gen AI synch with sustainability

CIO Business Intelligence

AI consumes a lot of power, whether it’s training large language models or running inference. For example, if you run inference with a model that was trained by somebody else, you should report on your share of the CO2 impact. This makes sense because the more people using a public cloud service, the higher the utilization rates.

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Weighing risk and reward with gen AI vendor selection

CIO Business Intelligence

Other respondents said they aren’t using any generative AI models, are building their own, or are using an open-source alternative. So the top questions that go beyond the usual due diligence that companies must ask when evaluating generative AI vendors have to with training data, copyright, added value, and model independence.

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What enterprise software vendors are doing with generative AI

CIO Business Intelligence

To help IT leaders keep tabs on their exposure to generative AI, CIO.com offers this round-up of the latest generative AI announcements from some of the major enterprise software vendors. It can connect the data to a variety of LLMs, open source, or proprietary, the company said.