NVIDIA’s Nyla Worker presented “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” in 2022.

Google experts Abhishek Ratna and Robert Crowe discuss practical paths to data-centricity in applied AI at The Future of Data-Centric AI ’22.

State Farm senior data scientist Jason Goldfarb presented “Reusable Data Cleaning Pipelines in Python” at the Future of Data-Centric AI 2022.

Jack Zhou, product manager at Arize, on “How to Apply Machine Learning Observability to Your ML System” from The Future of Data-Centric AI

Snorkel and affiliated academic labs have been hard at work reducing how computationally expensive large language models are.

Claypot AI CEO Chip Huyen presented “Platform for Real-Time Machine Learning” at Snorkel AI’s Future of Data-Centric AI 2022.

Enterprises—especially the world’s largest—are excited to use large language models, but they want to fine-tune them on proprietary data.

Jacomo Corbo and Bryan Richardson with QuantumBlack present “Automating Data Quality Remediation With AI” at The Future of Data-Centric AI.

Stefano Lindt presents “Leveraging NLP to Extract Value From Business Data” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

Peter Davio, CTO at Black Swan Data, presented “Petabyte-Level Learning” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

Grammarly’s Timo Mertens presents “Toward Superhuman Communication Assistance” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

The Future of Data-Centric AI showcased customer to successes, took a deep look at Snorkel Flow, and announced two new solutions.

Day 1 of The Future of Data-Centric AI virtual conference 2023 featured the creator of Spark, the first U.S. Chief Data Scientist, and others.

Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.

Peter Mattson, Google senior staff engineer and president of MLCommons.org, explained MLCommons at The Future of Data-Centric AI in 2022.

Ahmad Khan, Snowflake’s head of AI /ML strategy, presented “Scalable SQL + Python ML Pipelines in the Cloud” at |The Future of Data-Centric AI in 2022.

Large language models have enormous potential. But what are they? Where did they come from? And how can you make them work better?

The Future of Data-centric AI will bring together a star-studded lineup of expert speakers from ML, AI, and data science.

Stanford assistant professor James Zou, presents “Responsible Data-Centric AI for Healthcare and Medicine” at The Future of Data-Centric AI.

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

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

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

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.

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.

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

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.

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.

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.

Harvard Professor Vijay Janapa Reddi’s presentation: “DataPerf: Benchmarks for data” from Snorkel AI’s 2022 Future of Data-Centric AI event.

Forward-looking companies in finance, including banks, have looked to technology to meet challenges and are reaping the rewards of doing so.