Applied AI

Snorkel AI and Google Cloud accelerate AI innovation

February 2, 2023
2 min read

Snorkel AI is teaming up with Google Cloud to help organizations and AI innovators solve their most difficult problems by transforming raw, unstructured data into actionable AI-powered models.

We’re excited to build on years of academic partnership and collaboration with Google to jointly deliver real, significant value for our customers. We started by ensuring that Snorkel Flow easily deploys on Google Cloud infrastructure, ingests data from Google Cloud data sources, and integrates with Google AI and Data Cloud services. 

Snorkel AI and Google Cloud are now partnering to build out-of-the-box integrations that further streamline MLOps workflows—for example, Snorkel Flow’s new native integration with Google BigQuery. With a few clicks, data scientists can immediately pull relevant data from Google Cloud directly into Snorkel Flow and then label data programmatically to quickly generate training sets over complex, highly variable data.

A Data-Centric AI Development Workflow with Snorkel Flow on Google Cloud

Google Cloud Partner Engineering Dr. Ali Arsanjani Director (who spoke at Snorkel’s Foundation Model Virtual Summit) and Snorkel AI VP of Marketing Devang Sachdev discuss our partnership and the new BigQuery integration in this post, Accelerate data-centric AI development with Google Cloud and Snorkel AI.

To learn more about Snorkel AI and our long-standing relationship with Google, we highly recommend this presentation Snorkel AI co-founder Henry Ehernberg delivered at a recent Google Cloud BigQuery Innovation event, Accelerate AI development by eliminating the pain of manual labeling.

Learn More

Follow Snorkel AI on LinkedInTwitter, and YouTube to be the first to see new posts and videos!

Share this article
Image
Friea Berg
Head of Strategic Alliances

As Head of Partnerships for Snorkel, Friea Berg leverages over a decade of channel experience to help the world’s most innovative enterprises realize the promise of AI using proprietary data. Friea joined Snorkel to build the startup’s channel strategy from the ground up. Under her leadership, Snorkel has built successful partnerships with Google, Microsoft, AWS, Databricks, Snowflake, and Hugging Face plus unlocked new routes-to-market via Marketplace and global resellers. Partners are now integral to every team at Snorkel, one of CRN’s 10 Hottest Data Science/ML Startups in 2022 and one of Forbes’s 50 most promising AI startups in the world in 2023.

Prior to diving into startups, Friea held leadership, alliance, and business development positions at Splunk, NetApp, and other technology leaders. At Splunk she built and scaled global strategic partnerships with Google, Cisco, and Palo Alto Networks. She also led a team that incubated first-of-a-kind ‘market maker’ partnerships with Deloitte, SAP, Cerner, Salesforce, and others.

Recommended articles

View all articles
Image
Agents’ Last Exam: AI Benchmarking for Real Work
At our latest Snorkel AI Reading Group, Yiyou Sun and David (Xinyang) Han (UC Berkeley, Center for Responsible and Decentralized Intelligence) presented Agents’ Last Exam (ALE) — a benchmark designed to evaluate AI agents on long-horizon, economically valuable, real-world tasks with verifiable outcomes. ALE is a collaboration between Berkeley RDI, Snorkel AI, and 300+ expert contributors across 55 professional subfields. ALE asks a deceptively simple question: can
June 29, 2026
Snorkel Team
alex-ratner-talk
Agentic AI Evaluation: Closing the Gap with Better Benchmarks and Data
Alex Ratner, co-founder and CEO of Snorkel AI, spoke at @Scale: Systems & Reliability about one of the most underappreciated problems in AI deployment: our ability to measure agents has been outpaced — arguably for the first time in the history of the field — by our ability to build them. The talk digs into what it actually takes to
June 22, 2026
Snorkel Team
Image
Benchtalks #3: We taught AI everything except how to learn
For our third 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 Parth Asawa, a PhD student at UC Berkeley advised by Matei Zaharia and Joey Gonzalez. Parth leads research on continual learning and is the creator of Continual Learning Bench, developed in collaboration
June 20, 2026
Vincent Sunn Chen
Image
Image

Join our newsletter

For expert advice, the latest research, and exclusive events.
By submitting this form, I acknowledge I will receive email updates from Snorkel AI, and I agree to the Terms of Use and acknowledge that my information will be used in accordance with the Privacy Policy.