You already built the agent, probably wrapped it in a harness, added evals, connected observability, and it still falls the moment it uses company data. Building agents was never hard since tools calling has released in 2023 and then MCP standardized it. Now anyone can build an agent in an afternoon. The hard part is the thing that makes software like Palantir worth millions of dollar, and it isn’t LLMs. It’s everything around it, orchestration, RAG, knowledge graphs, master data management, semantic layer, ontologies and in short what company’s data means. Most failures happen in the boring layers like isolation, data quality, context across systems, and the data model itself. Let me tell you why skipping them turns a “Palantir for X” into “Accenture for X.”
Zakres wystąpienia
Sesja omawia firmowe fundamenty danych dla systemów agentowych, w tym orkiestrację, RAG, grafy wiedzy, zarządzanie danymi podstawowymi, warstwy semantyczne, ontologie, izolację i jakość danych.