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Ideas, updates, and practical guidance from the Snorkel team.

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Closing the Evaluation Gap in Agentic AI

Announcing a $3M commitment to launch Open Benchmarks Grants

February 11, 2026
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Knowledge graphs: build better models and reclaim predictive value
Knowledge graphs: build better models and reclaim predictive value

Amy Hodler, senior director at RelationalAI, presents “Reclaim Predictive Data with Knowledge Graphs” at The Future of Data-Centric AI.

May 17, 2023
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Capital One’s data-centric solutions to banking business challenges
Capital One’s data-centric solutions to banking business challenges

Three experts gave a look into Capital One’s data-centric solutions to solve the bank’s business problems and improve customer experience.

May 12, 2023
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Dataset cartography: a data science lesson from Capital One
Dataset cartography: a data science lesson from Capital One

William Huang, senior data scientist at Capital One, discussed “dataset cartography” and its value at the Future of Data-Centric AI 2022.

May 10, 2023
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Poster presenters compete to win desktop GPU
Poster presenters compete to win desktop GPU

Snorkel AI has accepted the first batch of applications for its first annual virtual poster competition. But there’s still time to add yours to the mix.

May 09, 2023
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Use your data to build your AI moat: The Future of Data-Centric AI 2023
Use your data to build your AI moat: The Future of Data-Centric AI 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023 free virtual conference.

May 04, 2023
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Redesigning Snorkel’s interactive machine learning systems
Redesigning Snorkel’s interactive machine learning systems

To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs.

May 03, 2023
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Out of distribution blindness: why to fix it and how energy can help
Out of distribution blindness: why to fix it and how energy can help

Sharon Li is an assistant professor at the University of Wisconsin-Madison. She presented “Detecting Data Distributional Shift: Challenges and Opportunities” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. The talk covered a novel approach for handling out-of-distribution objects.

May 03, 2023
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Debugging data to build better and more fair ML applications
Debugging data to build better and more fair ML applications

Dr. Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022.

Apr 28, 2023
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Machine learning on Kubernetes: wisdom learned at Snorkel AI
Machine learning on Kubernetes: wisdom learned at Snorkel AI

Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.

Apr 27, 2023
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