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.
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.
As the number of security tools deployed continues to climb, it gets more difficult for enterprise security teams to know, with confidence, their overall state of security.
The AI deployments that appeal to enterprise IT teams are those with real, measurable gains – such as AI-driven customer support chatbots, using AI to automate network operations, and self-hosted AI models for business analytics.
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