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Session
From raw documents to AI-ready data
Leo Platzer
- When
- Tuesday, June 303:20 PM – 3:40 PM · 20 min
- Where
- Expo Stage 4 SESan Francisco, CA · imported from ai.engineer's public schedule feed
About this session
Starting from a real document corpus full of overlapping, look-alike files, we walk through what it takes to make retrieval on those files reliable, from deduplicating to enriching with metadata. Watch how each step reshapes the vector space, and what happens to the answers that come back.
Speaker
Leo Platzer
Founder, Deasy Labs / Collibra
Leo Platzer co-founded Deasy Labs, a company focused on making unstructured enterprise content more accessible and AI-ready, which was acquired by Collibra.
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.