---
title: "Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo"
category: "slides"
video_id: "dvft0Gp9sEE"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo

## Source Video
[Analyzing 10,000 Sales Calls With AI In 2 Weeks — Charlie Guo](https://www.youtube.com/watch?v=dvft0Gp9sEE)

## 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/dvft0Gp9sEE/slide-001.jpg]]

OCR text:

> 16 calls per shift
> 32 calls per day
> 244 calls per week

![[assets/slides/dvft0Gp9sEE/slide-002.jpg]]

OCR text:

> , .] is . |
> ee ee
> cag BA

![[assets/slides/dvft0Gp9sEE/slide-003.jpg]]

OCR text:

> eee »
> ins
> ideal wy
> penvE Soha tg r
> a ieelall
> — “ oy od
> ipest ; it a % a
> Potential e
> A x : !
> aa Pay s
> a we sg ¢
> a a. i y

![[assets/slides/dvft0Gp9sEE/slide-004.jpg]]

OCR text:

> e Download transcript
> ® Read conversation “ ;
> The Old Way Cane arate aceite ts ; 7
> e Extract insights y
> . ta CGeelce tial Raesna] 9 Cem aleL Can) : .
> e Do this 10.000 times ee)
> yy | i

![[assets/slides/dvft0Gp9sEE/slide-005.jpg]]

OCR text:

> iy
> | a:
> 
> mi Par Ph oN
> eT agN an

![[assets/slides/dvft0Gp9sEE/slide-006.jpg]]

OCR text:

> Cross-
> Organizational
> Impact
> Leadership
> Marketing
> Sales

![[assets/slides/dvft0Gp9sEE/slide-007.jpg]]

OCR text:

> Models Matter

![[assets/slides/dvft0Gp9sEE/slide-008.jpg]]

OCR text:

> Your Data Goldmine
> GONG Trustpilot
> salesforce X
> USERVOICE INTERCOM

![[assets/slides/dvft0Gp9sEE/slide-009.jpg]]

OCR text:

> Charlie Guo
> www.ignorance.ai

## 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.