---
title: "Snowflake"
category: "companies"
aliases: ["Snowflake"]
website: "https://www.snowflake.com/en/"
sourceLabels: ["Official speaker roster", "Official conference schedule", "Public company site", "Automated company profile fetch"]
---
# Snowflake

## Overview
Snowflake is represented at AI Engineer World's Fair 2026. Its public site describes it this way: Snowflake enables organizations to collaborate, build AI-powered data apps, and unlock data insights—all within a secure and scalable AI Data Cloud.

## Background
The official speaker roster connects Snowflake to Sait Izmit. The public company site was discovered by domain-guess and fetched for homepage metadata.

## Conference Relevance
Snowflake matters to this wiki through 1 official speaker(s) and 1 scheduled session(s), including: Building GTM AI Agents: Lessons from Deploying to 6,000 Users.

## Conference Sessions
- [[2026-07-01-sait-izmit-building-gtm-ai-agents-lessons-from-deploying-to-6-000-users]] - Building GTM AI Agents: Lessons from Deploying to 6,000 Users (2026-07-01, 3:20pm-3:40pm)

## Connections
- [[sait-izmit]] - Principal Product Manager

## Sources
- [Snowflake AI Data Cloud](https://www.snowflake.com/en/)

## Evidence Graph
This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-07-01-sait-izmit-building-gtm-ai-agents-lessons-from-deploying-to-6-000-users|Building GTM AI Agents: Lessons from Deploying to 6,000 Users]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.

## Notes
- Automated company profile fetch status: fetched.

## Evidence Boundary
Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.