Accenture Plc Tuesday announced the launch of the Accenture AI Refinery framework, developed on Nvidia Corp.’s new AI Foundry service. The offering, designed to enable clients to build custom large language models using Llama 3.1 models, enables enterprises to refine and personalize these models with their own data and processes to create domain-specific generative AI solutions.
The artificial intelligence industry is filled with big vendors and upstarts, and Amazon Web Services Inc.’s AWS Summit in New York City earlier this months provided Amazon the platform to make its claim as the leader in AI. To do that, the company put Matt Wood (pictured), vice president of AI products at AWS, in the keynote spot.
There has been plenty of hype and ballyhoo around artificial intelligence and networking, but much of the vendor focus has been AI for networking, where AI is used to improve network operations. The other side of the AI coin is networking for AI, where a network must be designed and provisioned to support an AI implementation. Though many businesses will likely deploy AI in the cloud, making the supporting network the problem of the hyperscaler, 58% of respondents to a recent ZK Research/theCube Research study stated they have deployed or will be deploying AI in their own private data center.
Amazon Web Services Inc. today announced an update on its commitment to responsible generative artificial intelligence at its annual Summit in New York. Before the summit, which is being covered by theCUBE, SiliconANGLE’s livestreaming studio, I spoke with two AWS team members — Diya Wynn, responsible AI lead, and Anubhav Mishra, principal product manager for Guardrails for Amazon Bedrock.
Tech solutions provider C1, formerly ConvergeOne, in March launched a generative artificial intelligence-powered tool called Elly that has helped organizations better use their data, including previously inaccessible data locked in different business systems.