From raw documents to AI-ready data
Conference Context
- Date/time: 2026-06-29 · 3:20pm-3:40pm
- Track/room: track TBD · Expo Stage 4 SE
- Speaker(s): Leo Platzer
- Session type/status: session · confirmed
- Track: track TBD
- Room: Expo Stage 4 SE
- Session type: session
- Status: confirmed
Session Description
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.
Media Evidence
No related AI Engineer channel video found yet.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
No linked video, transcript, or slide source has been attached yet.
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
From raw documents to AI-ready data ## Conference Context - Date/time: 2026-06-29 · 3:20pm-3:40pm - Track/room: track TBD · Expo Stage 4 SE - Speaker(s): Leo Platzer - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 4 SE - Session type: session - Status: confirmed ## Session Description 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. ## Media Evidence No related AI Engineer channel video found yet. ## Evidence Graph This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Speaker And Company Context
- Leo Platzer — Founder at Deasy Labs / Collibra.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.