IT departments manage large portfolios but often lag in automation, coordination, and visibility. Modern IT architecture increases complexity, requiring network management to evolve. Automation is built into modern network management tools, while big data analysis of network logs supports security information and event management. Machine learning helps administrators identify potential issues before they affect the business. Cloud management platforms with AI assistance enable real-time monitoring and proactive alerts. As tooling advances, the role of IT administrators and programmers shifts, reducing reliance on single-vendor certified experts. Network skills increasingly emphasize APIs and hybrid cloud and DevOps practices rather than command-line interface expertise.
"We have been offering a pure cloud management platform for networks for a number of years and the AI [artificial intelligence] assistance behind such network management gives us the ability to monitor in real time and also proactively try to alert of any potential problems that may arise."
"Automation is part of the functionality available in modern network management tools. Big data analysis of network log files is used in security information and event management (SIEM), and machine learning (ML) is helping network administrators identify potential issues before they affect the business."
"The need for a Cisco-certified expert is getting less and less right now."
"while the value of a new network administrator may have previously been measured by their level of expertise in a particular networking command line interface (CLI), the advent of hybrid cloud and DevOps means there is a growing shift towards application programming interfaces (APIs)."
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