Snorkel AI hosted SnorkelCon, its first annual user conference in New York City, bringing together hundreds of enterprise AI experts to explore how to drive faster enterprise AI deployment through programmatic data development.
The day’s agenda included glimpses into Snorkel Flow’s future and real-world examples of Snorkel AI customers using the platform to build AI applications that yield real business value faster than ever. Additionally, event sponsors Amazon Web Services, Google Cloud, Microsoft, Databricks, and SambaNova Systems spoke with eventgoers about how their offerings complement Snorkel Flow.
Automation, efficiency, and scaling AI in the enterprise
Presentations at this year’s SnorkelCon centered on three core themes:
- Automation of data labeling.
- Efficiency in AI model specialization.
- Scaling AI initiatives in large enterprises.
Together, these themes united into an urgency to develop repeatable practices for converting unstructured data into reusable assets for model development and training. Closing keynote speaker Murli Buluswar, Citi’s Head of U.S. Consumer Analytics, summarized a major thread for the day when he told the audience that we’re moving from the information age into the “intelligence age.” This age, he noted, will be defined by moving beyond the democratization of data to the democratization of intelligence.
Earlier presentations spotlighted automation as presenters highlighted the growing need to build AI models while minimizing manual labeling efforts. Snorkel Flow’s programmatic AI data development techniques, several presenters noted, address these challenges and can accelerate specialized model development times by up to 100x.
See select session recordings here.
SnorkelCon 2024: a milestone for AI data development in the enterprise
SnorkelCon 2024 showed how a data-centric approach can make AI more efficient, scalable, and impactful for businesses. AI leaders and practitioners shared how they’ve used Snorkel Flow to streamline data labeling, speed up model development, and bring AI into production faster than ever. Real-world case studies brought these ideas to life, illustrating how companies are already seeing measurable results from using Snorkel’s platform.
Ready to accelerate AI development?
Deploy production AI and ML applications 10-100x faster with Snorkel’s experts, using our proprietary technology.
Matt Casey
Data Science Content Lead
Matt Casey leads content production at Snorkel AI. In prior roles, Matt built machine learning models and data pipelines as a data scientist. As a journalist, he produced written and audio content for outlets including The Boston Globe and NPR affiliates.
Recommended articles
View all articles
The Standard for Agents You Can Trust: Lessons from the Federal Front Lines
In the first installment of Agentic in Action — a series about real AI deployments, not demos — Snorkel AI’s Kevin Olivieri sat down with three people who have spent their careers where trust isn’t optional: Chris Sniffen, Federal Applied AI Lead at Snorkel AI; John Hickey, President of August Schell; and Mike Baca, CIO of August Schell. The conversation focused on
June 5, 2026
•
Snorkel Team
Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration
At our latest Snorkel AI Reading Group, Yijia Shao (Stanford NLP) stopped by our San Francisco office to present Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration. As LLM agents get better at automating tasks on their own, a large class of real-world problems still needs a human in the loop – for their preferences, their domain expertise, or simply for control.
June 4, 2026
•
Benchtalks #2: The future of coding benchmarks
For our second Benchtalks, the series dedicated to the researchers building the measurement toolkits that frontier labs hill-climb on, Snorkel AI co-founder Vincent Sunn Chen sat down with John Yang, a Stanford PhD student and creator of the SWE-bench franchise, SWE-smith, CodeClash, and most recently ProgramBench. Highlights More on ProgramBench: See the benchmark and the upcoming leaderboard at programbench.com. More from John Yang: Publications and writing at john-b-yang.github.io. Snorkel
June 3, 2026
•
