AI and data streaming: Integrating agents with data-in-motion for real-time enterprise intelligence
AI Infrastructure, Agentic AI, MCP
LLMs have traditionally been trained on static, batch-loaded data sets.
Meanwhile new MCP-driven and A2A-based architectures allow agentic systems to integrate with and interrogate real-time data streams.
This talk will propose a reference architecture and cover use cases in five industries that stand to benefit greatly from this convergence of real-time data and AI: financial services, cybersecurity, manufacturing, adtech and gaming.
It will also dive into exposing gRPC services as MCP servers, solving for schema definition, pluggability, transport, software packaging and distribution.
Peter Corless has worked across a broad spectrum of the data industry over the past decade: real-time data streaming, as well as distributed databases, OLTP and OLAP, SQL and NoSQL. He recently wrote an O'Reilly book on Open Source Observability.