Local and wide-area networks can get complex very quickly, so it’s no surprise that AI-powered network management is making a huge impact in the enterprise. In this episode, Tom Hollingsworth, who runs N etworking Field Day for Gestalt IT, joins Chris Grundemann and Stephen Foskett to discuss applications of AI in network monitoring and management. Solutions like Mist from Juniper Networks give network administrators the ability to ask questions get insight using the power of machine learning. This proactive observability stance allows network administrators to answer difficult questions rather than just keeping things running. AI truly has become a co-pilot for network engineers, helping transform their career once they embrace it. Another use of AI in networking is exemplified by Forward Networks , which can model and test networking concepts before they are pushed to a live environment. Another company, HPE’s Aruba, is leveraging AI in edge computing while their Net Insight suggesting best practices. SD-WAN companies are also using AI to accelerate applications, and AI is finding applications in wireless networks. Finally we take on “AI washing” and the need to be skeptical when companies say their solutions use AI.
- Is MLOps a lasting trend or just a step on the way for ML and DevOps becoming normal?
- Are there any jobs that will be completely eliminated by AI in the next five years?
- Tony Paikeday of NVIDIA asks, can AI ever teach us to be more human?
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