Behind the Booth: How We Delivered a Live AI Experience at Snowflake Summit

Behind the Booth: How We Delivered a Live AI Experience at Snowflake Summit

Written by

Ryan Lewis, Sr. Lead Consultant

Published

June 13, 2025

AI & Machine Learning
Snowflake
Sigma

We wanted to do more than just hand out stickers at this year’s Snowflake Summit. We wanted to create an experience—something fun, immersive, and hands-on that brought the power of AI, Snowflake, and real-time analytics to life.

So we built a two-part AI solution that combined facial recognition, mood detection, and instant dashboarding. The result? A booth where attendees could get a custom AI-generated caricature and learn how advanced tools like Snowflake, Landing AI, and Sigma come together to power intelligent experiences.

The Big Idea: Fun Meets Function

We set out to show what’s possible when modern data and AI tools are thoughtfully combined. Our booth experience worked like this:

1

Snap a Photo
Attendees had their photo taken at the booth.

2

Generate a Caricature

The image was sent to an AI service to create a playful caricature.

3

Analyze Your Mood

At the same time, the photo was sent to a custom mood detection model powered by LandingLens (via Snowflake) to classify your expression.

4

See the Results in Real Time

Your mood data was logged in Snowflake and instantly visualized on a Sigma dashboard alongside aggregated visitor insights.

5

Take Home the Fun

Every participant got a printed caricature to keep—and a great story to share on LinkedIn.

Behind the Scenes: How It All Worked

Data Collection & Processing

We started by gathering internal data—photos of the OneSix team acting out specific moods. These images were passed through AWS Rekognition to crop the headshots and stored in an S3 bucket.

But to train a meaningful model, we needed more. We augmented our dataset with hand-picked stock photos and even generated synthetic headshots using GPT-image-1 to ensure variety and balance across moods.

Model Training in LandingLens

Training our mood detection model involved:

LandingLens made it easy to go from raw images to a trained model with its low-code interface and tight Snowflake integration.

Real-Time Inference & Dashboarding

When an attendee took a photo:

The entire process happened in seconds. One moment you’re smiling at the camera, the next you’re a dot on a live mood chart.

Why We Chose These Tools

Snowflake Icon (2)
landingai-icon

Landing AI's LandingLens

sigma (2)

Sigma

The Takeaway

This wasn’t just a gimmick. It was a live demonstration of what’s possible when you combine the right technologies with a little creativity.

At OneSix, we believe data and AI should feel approachable and practical. This booth experience proved that smart, scalable, and governed AI applications don’t have to be intimidating—or boring. Thanks to everyone who stopped by to participate. We hope you had as much fun as we did. See you next year!

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