Enterprises that take a team approach to cloud planning are finding success in optimizing cost/benefit ratios and shortening the payback time of cloud implementation costs.
A universal Internet of Everything that sees all and knows all requires control: How do we give tech a closer look at our activities while avoiding privacy and security pitfalls? AI is almost surely the only path to achieving that control.
Extending IT to reach the 40% of employees who don't work in traditional offices requires new applications to boost those users' productivity, which creates the business case to spur genuine network transformation.
Think of 2025 as a transition year as networking players put their efforts into finding new applications with solid business benefits that warrant, and can fund, a network transformation.
Application trends, component costs and AI plans are driving enterprises to rethink their approach to LAN and data-center network capacity.
Analyzing AI traffic flows is critical in choosing cluster network hardware, say enterprise IT professionals who found they knew little about AI network needs until they ran their own trials.
Enterprises today are least satisfied with incumbent security vendors, which opens the door for newcomers. Other areas where startups could appeal include AI networking and IoT networking.
Net neutrality policies are the most significant regulatory influence on the Internet and data services, and they're the reason why end-to-end Internet QoS isn’t available.
We’re in the infancy of in-house AI with many unknowns and plenty of questions. On the infrastructure front, enterprises agree that AI deployments should be designed as a new cluster with its own fast cluster network.
After the CrowdStrike outage, some enterprise IT teams are rethinking their assumptions about how use of the cloud impacts application reliability.
