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Cisco Live US 2026 Spotlights AI-Ready Enterprise Networking Automation

Cisco Live Las Vegas 2026, scheduled from May 31st to June 4th, 2026, is positioning itself as a pivotal event for professionals looking to master the ongoing transformation of enterprise networks. The conference will heavily feature sessions and workshops dedicated to evolving network infrastructures into intelligent, programmable, and AI-ready platforms. A recently published guide outlines the extensive offerings in enterprise networking automation, including nine core sessions, hands-on labs, and walk-in opportunities for attendees. The programmability and automation tracks at Cisco Live are designed to lay the groundwork for 'AgenticOps,' a concept that paves the way for an AI-ready operational future. The curriculum, primarily built around Cisco IOS XE, focuses on five transformative themes. These include developing AI-Ready Infrastructure capable of feeding intelligent pipelines for anomaly detection, predictive fault analysis, and automated remediation. Another significant theme is 'The Atomic Shift,' which advocates for atomic, all-or-nothing configuration operations to minimize configuration drift and partial failures, moving beyond incremental changes. Attendees will also delve into 'Beyond SNMP,' exploring the adoption of Model-Driven Telemetry (MDT) with gRPC dial-out and gNMI streaming for scalable, real-time, structured data. 'Edge Computing Unleashed' will showcase how new platforms, such as the Cisco C9350 switch, can host applications directly on network devices, effectively turning them into extensible compute platforms. Finally, the 'Modern Automation Stack' theme will provide comprehensive training on mastering NETCONF/YANG, RESTCONF, Ansible, Terraform, and Python for advanced network orchestration. These sessions cater to a wide range of expertise, from beginners in network programmability to advanced practitioners seeking to push the boundaries of network automation.
#cisco#enterprise networking#network automation#ai#devops#programmability
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