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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.
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 can be dismissed as a buzzword, but to be useful it should include monitoring, security, data, and actionable insights.
Artificial intelligence and AI vendors promise a lot, but grill your providers about how theirs works and its limitations.
EMA study found networking pros who reported the most success with AIOps pointed to improved security and compliance as a potential benefit.
Automation tools can reduce manual tasks and improve security today even though the goal of full automation is still remote.
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.
Business Wi-Fi has grown in importance, and an AI-based operational model is needed to keep up with increasing demands.
A penetration test is only as good as the person conducting it. There are gaps that a national execution standard could fill and ensure networks are equally secure.