The network continues to grow in importance as a strategic business asset. A recent joint study between ZK Research and The Cube Research found that 93% of organizations felt the network was more critical to business operations than two years ago. At the same time, 80% of respondents believe the network has grown in complexity in that same time frame. The continuation of these two trends will lead to an untenable situation.
Every business or IT leader I talk to today has customer experience (CX) improvement as one of their top initiatives. My research shows that 95% of companies now compete on CX versus only 22% a mere five years ago. While there is no silver bullet to improve CX, AI is viewed as an enabler of change allowing companies to deliver differentiated experiences.
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.