Agents + Data Streaming for Real-Time Enterprise Intelligence
summary
A reference architecture proposes MCP-driven, A2A agent systems that interrogate real-time streams across five industries — financial services, cybersecurity, manufacturing, adtech, and gaming — with a practical conversion of gRPC to MCP servers (open sourced) to reduce connection overhead and enable high-rate inference. Claims include RAG being superseded by MCP since 2024, use of Mixture-of-Experts and LoRA modules for per-inference specialists, and tooling recommendations like Redpanda Connect for ingestion and Langfuse distributed tracing plus Phoenix Arise for AI observability and evaluation.
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chapters (7)
- 0:00Introduction to AI and data streaming
- 4:48The coming plateau of LLM training data
- 7:19Adaptive strategies for LLMs
- 11:56Retrieval and agent communication protocols
- 16:26Observability and evaluation for AI systems
- 20:05Real-time data streaming in enterprise
- 23:15Building an agentic data plane
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