Webinar
Two Paths to Self-Improving AI Agents and Why One Works
A practical look at GraphRAG, knowledge graphs, and building AI agents that actually work in the enterprise
44
Day(s)
:
22
Hour(s)
:
11
Minute(s)
August 11, 2026
London:
3:00 pm – 4:00 pm BST
Vienna:
4:00 pm – 5:00 pm CEST
San Francisco:
7:00 am – 8:00 am PDT
New York:
10:00 am – 11:00 am EDT
As Marcy Riordan noted in a May 2026 article on CMSwire: “Autonomous AI systems cannot reliably act when customer data is isolated across disconnected enterprise platforms and lacks shared context.” The root cause is structural, most enterprise data environments lack shared logical semantics, the connecting glue that gives AI agents meaning across contexts.
In this webinar, you’ll learn:
- Why disconnected enterprise data is the core obstacle to reliable agentic AI
- How hybrid GraphRAG architectures, combining deterministic methods, structured databases, and formal ontologies, provide the verified context LLMs need
- The real trade-offs between this approach and probabilistic RSI as promoted by Anthropic, Recursive Lab, and others
- What enterprise AI teams must understand before committing to either path