---
title: "Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)"
category: "slides"
video_id: "jryZvCuA0Uc"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)

## Source Video
[How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)](https://www.youtube.com/watch?v=jryZvCuA0Uc)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/jryZvCuA0Uc/slide-001.jpg]]

OCR text:

> aWws
> 
> ee)
> ORCI ol glk Mm am AVIACe STO RO MU FotateTey DIE
> Mdaily £3 augment code WorkOS

![[assets/slides/jryZvCuA0Uc/slide-002.jpg]]

OCR text:

> How to Look at Your Data
> Jeff Huber & Jason Liu

![[assets/slides/jryZvCuA0Uc/slide-003.jpg]]

OCR text:

> Read the full report
> research.trychroma.com
> AIE

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.