How Agentic AI Transforms the Role of Storage

As Agentic AI moves beyond foundational theory into real-world deployment, the focus shifts to the architectural and operational enablers that make scalable intelligence possible. This session explores the emergence of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication as critical components for orchestrating distributed, autonomous systems—laying the groundwork for the Agentic Mesh, where agents collaborate, adapt, and self-optimize across domains. We’ll examine how Agentic AI operates in, on, with, and for storage systems—transforming them from passive data repositories into active participants in decision-making and workflow execution. From client-side perspectives, we’ll discuss how agentic interactions reshape expectations around latency, autonomy, and data locality, and what this means for future-ready infrastructure. Topics to be covered include: • Architecting Model Context Protocol (MCP) for scalable coordination • Enabling Agent-to-Agent (A2A) communication across heterogeneous environments • Building and managing an Agentic Mesh for distributed intelligence • Agentic roles in storage systems: embedded, adjacent, cooperative, and service-oriented • Client perspectives on agentic integration: performance, autonomy, and trust boundaries • Implications for infrastructure, data governance, and operational models Join us to explore how Agentic AI is redefining the boundaries of intelligent systems—and why storage is no longer just where data lives, but where intelligence begins.