AgentOps, a new paradigm, aims to reduce friction, automate decision-making, and embed intelligence into operations. Beyond a technical upgrade, AgentOps represents the reimagining of IT operations in an era of intelligent autonomy, according to Shailesh Manjrekar, chief AI and marketing officer of Fabrix.ai Inc. “What AgentOps … also [being] known as AgenticOps means is really how you operationalize the entire agentic stack from getting to a prompt all the way to looking at the MCP tools, getting to the proper guardrails, experimenting and then eventually getting to the lifecycle management of these agents.” By embedding large language models into the decision-making process, enterprises can move from reactive monitoring to proactive, predictive and eventually autonomous operations. Networking remains the nervous system of modern enterprises — and increasingly, of AI itself, according to Blili. Yet, networks are growing more complex, spanning data centers, cloud, wireless, mobility and telco domains. Agentic AI is uniquely suited to this challenge because of its ability to reason, deliberate and break down problems into solvable tasks. “In the areas of networking, that’s particularly important because some of the things that you’re trying to automate and improve require enormous amounts of data and understanding of relationships between entities,” Blili said. “In emerging markets, the highest [customer loyalty] number I ever saw was SD-WAN at 30%,” Kerravala said. “To have a number that high just shows the demand today for AI ops and AgentOps and how much customers are looking forward to it helping them with their operational issues.”