Network Management Software

The real risk of AI in network operations

Using generative AI technology for network operations issues can yield results that sound credible but are actually completely wrong.

IT pros worry about network data being fed to AI tools

Volume of data, frequency of polling, security, and the impact on network performance are among the concerns of networking teams, according to an EMA survey.

AI is coming to the network

Infusing a network organization with artificial intelligence will involve offloading tasks to AI, changing your approach to skills development, and as staffing requirements change, displacing workers.

More work for admins: When labor-saving management tools don’t ease workloads

There are lots of good reasons for network automation, but network teams need to be mindful of what they want to do with any time and resources saved.

Network observability: What it means to vendors and to you

Network observability can be dismissed as a buzzword, but to be useful it should include monitoring, security, data, and actionable insights.

Is your network AI as smart as you think?

Artificial intelligence and AI vendors promise a lot, but grill your providers about how theirs works and its limitations.

Survey: AIOps-driven network management can make your business run better

EMA study found networking pros who reported the most success with AIOps pointed to improved security and compliance as a potential benefit.

Full network automation isn’t ready, but current tools can still help

Automation tools can reduce manual tasks and improve security today even though the goal of full automation is still remote.

Trouble with troubleshooting: Network-management tools are letting IT pros down

3 strategies to simplify complex networks

Innovations such as SD-WAN, Wi-Fi 6 and 5G have enabled networks to do more, but they’ve also made them complex. Software, machine learning, and automation will alleviate the problem.