"Cisco is thinking about network operations differently with AI Canvas. This new shared workspace for humans and AI agents shifts from reactive AI assistance to autonomous agentic operations. We go in-depth with DJ Sampath, SVP of AI Software and Platforms at Cisco, to see hear how purpose-built models and 30 years of network engineering data are supposedly transforming IT troubleshooting."
"customers want to move beyond chatbot-style AI applications. They want to deploy autonomous agents that execute complete workflows without human intervention. "We're moving from AI applications to agents that just go perform an autonomous execution by itself," Sampath explains. "When we talk to customers and ask 'are you deploying chatbots or are you deploying agents?' the answer is we're deploying more agents. So we're already seeing that shift happen.""
AI Canvas provides a shared workspace where humans and AI agents perform autonomous, end-to-end IT workflows rather than offering only reactive assistance. Enterprises are shifting from chatbot-style AI to autonomous agents that can execute complete troubleshooting and operational tasks without human intervention. Successful agentic ops require unified data access across silos to prevent excessive API chatter and enable effective cross-environment reasoning. Effective IT problem solving requires multiplayer collaboration because resolution is typically a team sport. Purpose-built models combined with three decades of network engineering data aim to improve automated troubleshooting and workflow execution.
Read at Techzine Global
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