To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and shared by IT and line-of-business stakeholders.
Vendors who told enterprises that AI networking would have a profound impact are proving correct.
When considering how AI should apply to business, there are three distinct categories that enterprises use to classify AI agent applications: embedded, workflow and reactive.
Now that Juniper Networks is part of HPE, how should the combined company position itself and build on its AI assets, including Juniper's Mist and AI-Native networking?
Everything isn’t moving to the cloud because the cloud isn’t best for everything.
A single enterprise won't influence telecom standards, but a group of them can, if they work together. Support for IoT, openness, and security are few reasons why it's worth the effort.
It's hard to imagine an easy-yet-broadscale IT win to be gained from deploying any single technology like private 5G, edge computing or AI. But applied together, there's cause for excitement.
When asked which IT vendors are shaping the future of networking, a lot of enterprises said IBM, which doesn’t even make network products. What do network vendors need to do to reclaim strategic influence and generate interest and excitement?
Digital twins, linked with AI, could remake networking. The combination enables a whole new level of automation.
Enterprise IT tends to view AI agents as application components that fit into business processes and workflows with varying degrees of autonomous operation. That’s opposed to a chatbot or copilot model, which suggests more of a personal product
