AI and data streaming: Integrating agents with data-in-motion for real-time enterprise intelligence

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.