VISIT SNOWFLAKE AT HUMANX 2026

Name: Data Cloud World Tour Chicago
Start: 2023-10-12T228:30-12:00
End: 2025-08-03T12:00-17:00
Location: Hilton Chicago

BOOTH 328

SAN FRANCISCO, CA | APRIL 6 – 9, 2026

3

1

10

DAYS

FEATURED SESSION

SNOWFLAKERS

WHY ATTEND?

LEARN LIVE

In this new era of AI, Snowflake is working to enable customers to maximize business value. From governed data to AI the Snowflake AI Data Cloud is your hub for all AI workloads and development, driving quick insights from structured and unstructured data.

Hear from Snowflake CEO Sridhar Ramaswamy in a special fireside chat and visit us at the Snowflake Booth 328. We will be covering topics across: Snowflake Intelligence, Snowflake’s Cortex AI, talking to your structured and unstructured data, open Lakehouse, Snowflake native solutions for AI/ML, Snowflake for app developers, and more.

MEET THE TEAM

Stop by our Snowflake booth #328 to learn about how you can get started with Snowflake’s AI Data Cloud today. Seamlessly scaling across 22+ regions globally. Snowflake’s AI Data Cloud helps deliver enterprise-grade data and AI products with an integrated data lakehouse (lake + warehouse), data engineering, gen AI, and ML.

RESOURCES

Learn more about Snowflake and the AI Data Cloud before and during the event.

Building Trusted AI: Data Platform Essentials

Not yet registered? Register for a conference pass with code HX26_Snowflake to save $150 on the HumanX website.

Snowflake Session

Hear from Snowflake in a special breakout session.

START TIME SESSION NAME

Wednesday, April 8
4:20 PM

Making AI Real: How Enterprises Turn AI Into ROI

Speaker:
Sridhar Ramaswamy, CEO, Snowflake
Moderator:
Eric Newcomber, Journalist
Location: Main Theatre

As AI moves from experimentation to production, Sridhar Ramaswamy argues that enterprise value comes from action and iteration, not one-time “big bets.” He’ll share how leading organizations are moving beyond dashboards and pilots to AI systems embedded directly in real business workflows. The message is pragmatic: enterprise AI succeeds when data is trusted, AI is applied with clear intent, and teams focus on measurable outcomes rather than hype.