The complexity of managing today’s data center, campus and WAN environments is outpacing the size of IT teams. Without AI-driven operations, the number of devices, applications and alerts will quickly overwhelm even the most experienced network teams.
My latest blog, “Design Smarter Networks: AI for Networking is Shaping the Future of Network Operations,” explores how AI is augmenting network engineers — automating routine tasks, improving uptime and freeing up resources for strategic work.
I examine how solutions like Cisco’s Nexus Dashboard, AI Assistant, AI Canvas and integrations with Splunk are bringing predictive maintenance, cross-domain visibility and real-time troubleshooting to life.
These tools represent more than incremental automation; they are a shift toward self-healing, adaptive networks that can predict failures, isolate issues and take corrective action before users notice a problem.
Read more about how AI for Networking differs from Networking for AI, and why this distinction will shape the next decade of infrastructure design.
👉 Read the full blog here: https://lnkd.in/gSB-6NCX
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