Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore how Agentic AI is revolutionizing storage systems from passive data repositories into active participants in decision-making and workflow execution in this 59-minute conference presentation. Discover the architectural and operational foundations that enable scalable artificial intelligence through the emergence of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication systems. Learn about the development of the Agentic Mesh, where autonomous agents collaborate, adapt, and self-optimize across different domains and environments.
Examine the four key ways Agentic AI operates with storage systems: in, on, with, and for storage infrastructure, transforming traditional data management approaches. Understand how client-side agentic interactions are reshaping expectations around latency, autonomy, and data locality, and what these changes mean for building future-ready infrastructure. Gain insights into architecting Model Context Protocol for scalable coordination and enabling seamless Agent-to-Agent communication across heterogeneous computing environments.
Delve into the various agentic roles within storage systems, including embedded, adjacent, cooperative, and service-oriented implementations. Analyze client perspectives on agentic integration, focusing on critical aspects of performance optimization, system autonomy, and establishing appropriate trust boundaries. Explore the broader implications for infrastructure design, data governance frameworks, and operational models in an AI-driven landscape.
Discover why storage systems are evolving beyond simple data repositories to become the foundation where intelligence begins, and how this transformation is redefining the boundaries of intelligent systems. The presentation covers practical considerations for implementing distributed intelligence networks and managing autonomous systems that can adapt and optimize themselves across multiple domains.
