Sam Anthony argues that AI agents are not the revolution themselves, but rather a powerful catalyst for profound, lasting changes in the surrounding technology ecosystem. This includes modernizing data infrastructure, standardizing system design, enabling seamless interoperability, democratizing technology and expertise, and shifting human thinking towards outcome-based problem-solving.
Discover how A2A (Agent2Agent) and MCP (Model Context Protocol) solve critical challenges in AI agent ecosystems. A2A enables seamless communication and collaboration between diverse AI agents, while MCP standardizes an agent's access to external tools and data, fostering robust and interoperable AI workflows.
Dr. Vijoy Pandey of Cisco's Outshift incubator discusses his vision for a future where multi-agent human societies collaborate to solve major scientific and physical challenges. He introduces AGNTCY, an open-source project for the "Internet of Agents," designed to address the critical hurdles of agent interoperability and trust through a Zero Trust framework and Task-Based Access Control (T-BACK).