Most pega hosted videos are around interaction with frontier AI models like azure , claude etc.. Cisco has DeepNetworkModel which can be used effectively in Enterprise space for certain kind of use case’s. If we build a AI agent which interacts with right prompt to DeepNetwork Model it can return on which node we can run the user request or task i mean which MCP server to be. selected or Pega node suits based on current internet/network traffic. We can improve response time to users by giving correct prompts to DeepNetwork Models. If we can show correct usecases in demo’s IT clients will be impressed especially Large banking clients , Retail gaints will benefit lot. Network Intelligence has lot of dimensions to it for example for an individual his personal network , professional network and organization connectivity . similary for Organizations partnership network . So A2A protocols if use effectively we can reduce dependency on LLM interactions and get the best outcomes by effectively using existing resources and networking intelligence
Build an AI agent that sends the right prompts to Cisco’s DeepNetworkModel to check current network traffic in real time. Based on this, the model tells the system which server or Pega node is best suited to handle a user’s task at that moment, so requests get routed faster and response times improve. Instead of depending only on large language models, the system uses Agent-to-Agent (A2A) protocols to automatically tap into personal, professional, and organizational network intelligence. This smarter routing makes full use of existing resources and connections, giving large enterprises like banks and retailers faster, more efficient workflows.