Agentic AI Meets Search: Real-World Use Cases With...

Agentic AI Meets Search: Real-World Use Cases With OpenSearch MCP Support - Aditya Soni, Forrester Research; Seema Saharan, Autodesk; Anshika Tiwari, Amazon Web Services Agentic AI systems operate autonomously to plan, execute, and adapt across diverse domains, but their power multiplies when connected to live, rich data sources. OpenSearch 3.0’s experimental MCP support enables AI agents to seamlessly interact with search indexes and observability data as tools, unlocking new possibilities for autonomous decision-making. Join this session to explore real-world use cases where OpenSearch-powered AI agents enhance healthcare diagnostics, e-commerce personalization, security analytics, and market intelligence. Learn how MCP standardizes communication between AI models and OpenSearch, enabling dynamic, context-aware AI workflows that improve accuracy, responsiveness, and business impact. Through demos and case studies, see how agentic AI combined with OpenSearch’s search and analytics capabilities drives smarter, faster, and more adaptable solutions.