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Small Data 2025
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| With founder/CEOs Barr Moses (Monte Carlo), Barry McCardel (Hex), Colin Zima (Omni), George Fraser (Fivetran), Glauber Costa (Turso), Jordan Tigani (MotherDuck), Benn Stancil (Chief Analytics Officer, Mode), Ravin Kumar (Researcher, Google DeepMind). |
| Venue, To Be Announced, San Francisco |
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Nov 04 (Tue) , 2025 @ 08:30 AM
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$379 |
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| DETAILS |
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Local-First. Cloud-Free. Future-Ready.
Something small is happening
Small Data SF returns to San Francisco on November 4-5, 2025, bringing together developers & data practitioners for two days of workshops & talks that challenge the "bigger is always better" mentality in data & AI. Join us to explore the philosophy that's reshaping how we think about data processing!
Day 1 (November 4): Hands-on workshops where you'll learn practical techniques for efficient data processing, local-first development, & building AI applications that don't require a cluster to run.
Day 2 (November 5): A full day of talks from industry leaders who are redefining what's possible when you optimize for simplicity, speed, & developer experience rather than theoretical scale.
Small Data isn't just about datasets that fit on a single machine-it's about efficiency in making big data feel small, processing data in smaller pieces before it gets too big, embracing local-first development, & choosing simplicity over unnecessary scale. With computers now one hundred times more powerful than during the early Big Data hype, it's time to focus on the underrated joys & untapped potential of laptops, cloud machines, & edge computing.
This same philosophy extends to Small AI, where smaller, optimized models offer speed, flexibility, & practical deployment options without the overhead of massive infrastructure. Because sometimes the question isn't "How big is your data?" but "How efficiently can you process it?"
The Small Data (& AI) Movement is already underway. Are you in?
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