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Build bigger with small data and AI
2025 in Pictures
Agenda
8:30 AM
Check-in
The Great Data Engineering Reset: From Pipelines to Agents and Beyond

Joe ReisDeepLearning.AI
The Unbearable Bigness of Small Data

Jordan TiganiMotherDuck
Projection Pushdown vs Predicate Pushdown: Rethinking Query Efficiency

Adi PolakConfluent
Panel: Don't duck up the Numbers: Where AI Hype Meets BI Reality
In the long run, everything is a fad

Benn Stancil
12:00 PM
Lunch
When not to use Spark?

Holden KarauFight Health Insurance
From 1 parameter model to 100 billion parameter models. How progress on one benefits all

Ravin KumarGoogle DeepMind
Building Distributed DuckDB Processing for Lakes

George FraserFivetran
Uncharted: Building a Semantic Layer + MCP to Map 1.7M Songwriter Connections with Claude Code.

Sam AlexanderKnapsack
Small data, big features: we are rewriting SQLite!

Glauber CostaTurso
Doing More with our Data at DoSomething.Org: a Nonprofit’s Small Data Story

Sahil GuptaDoSomething
Explore23: Web application for exploration of a large genomic research cohort

Teague Sterling23andMe
Better Data, Smaller Models, Bigger Impact

Shelby HeineckeSalesforce
4 Lessons Learned the Hard Way and How Thinking Small Saved the Day

Scott HainesBuf
Panel: Is the Future Small?
5:45 PM
Networking Reception
Speakers

Local-First. Cloud-Free. Future-Ready.

From the community

We champion the power of Small Data and smart AI, believing that less is truly more. Modern hardware is powerful enough—keep it simple, utilize local compute, and remember that single machines rule. Small models drive huge impact!
Simplicity is scalable: chaos and complexity are not.
BUILD BIGGER
WITH SMALL
DATA AND AI
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Small Data. Huge Impact.

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