Dive into 30+ sessions from The Future of Data-Centric AI 2023.
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Product
AI PLATFORM
Snorkel Flow
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Accelerate AI development with the data-centric platform powered by programmatic labeling
Learn more
USE SNORKEL FLOW FOR
Data labeling
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Accelerate AI development with the data-centric platform powered by programmatic labeling.
Model training and analysis
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Continuously update and analyze models to guide rapid iteration and improvement.
Foundation model development
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Fine tune and distill foundation models and LLMs for use in production applications.
Enterprise AI
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Benefit from enterprise-grade interoperability, security, expertise, and more.
FEATURED RESOURCE
7-minute intro to Snorkel Flow
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See how Snorkel Flow accelerates AI development by 10-100x in this short demo.
Watch now
Solutions
INDUSTRIES
AI for banking
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Personalize customer interactions, manage risk, and improve resource
AI for healthcare
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Speed clinical trial success, improve patient outcomes, and enhance research.
AI for government
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Build machine learning models and AI applications across a wide variety of missions and use cases.
AI for insurance
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Detect fraud, speed claims processing, and improve underwriting workflows.
AI for telecom
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Assess network health, tailor customer support, and detect security risks.
AI APPLICATIONS
Document classification
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Improve performance by exploiting features unique to your data with custom classification apps.
Named entity recognition
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Solve domain-specific syntactic and semantic challenges with precise NER apps.
Information extraction
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Collect useful text and data from virtually any table or form with flexible extraction apps.
Conversational AI
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Automate responses to customer inquiries to improve efficiency and customer satisfaction.
Sentiment analysis
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Tackle complex NLP challenges with nuanced sentiment analysis apps.
FEATURED RESOURCE
Snorkel Flow success stories: the ultimate collection
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Learn how Snorkel Flow is powering AI innovation for the Fortune 500 and beyond.
Download now
See all industries and AI applications
Technology
SNORKEL RESEARCH
Snorkel research project
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Learn how Snorkel open source has advanced to production as the Snorkel Flow platform
Research library
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Explore 60+ peer-reviewed papers as part of the Snorkel research project
CORE CONCEPTS
Data-centric AI
Foundation models
Large language models
Programmatic labeling
Weak supervision
FEATURED RESOURCE
Snorkel Flow and weak supervision 101
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Discover the benefits of weak supervision for enterprise AI in this primer to Snorkel and data-centric AI.
Download now
Case studies
FEATURED CASE STUDIES
Apple
Big four consulting firm
Georgetown University’s CSET
Fortune 50 bank
Google
Fortune 500 telecom
Intel
Global custodian bank
Memorial Sloan Kettering Cancer Center
Global financial services leader
Pixability
Top 3 US bank
Schlumberger
Top 5 pharma
Stanford Medicine
Top US bank
FEATURED RESOURCE
Snorkel Flow success stories: the ultimate collection
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Learn how Snorkel Flow is powering AI innovation for the Fortune 500 and beyond.
Download now
See all case studies
Resources
INSIGHTS
Blog
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Discover the latest posts from Snorkel AI experts, industry leaders, and researchers.
Research papers
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Explore 60+ peer-reviewed papers as part of the Snorkel research project
Frequently asked questions
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Explore our library of FAQs on scalable AI development, Snorkel Flow, and data-centric AI
ENGAGE
Events and webinars
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Attend our upcoming live webinars and events to discover new ideas and make connections.
Hands-on workshops
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Get hands-on with Snorkel Flow in an live instructor led workshop.
FEATURED RESOURCE
An intro to programmatic labeling
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See how to automate data labeling and generate massive, high-quality datasets in minutes.
Watch now
Company
COMPANY
About us
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Snorkel AI is redefining how AI applications are built. Learn about our mission, team, and culture.
Careers
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We’re bringing together some of the best minds in AI and machine learning. Join us.
Press and news
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Read the latest news about Snorkel AI and Snorkel Flow customers
PARTNERS
Partners
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We work with an innovative ecosystem of partners focused on delivering value through data-centric AI.
FEATURED RESOURCE
The Future of Data-Centric AI 2023
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Explore the next wave of AI advancement during this free two-day virtual conference on June 7-8.
Register now
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Resources
Resources
Blog
Events
Press
Research papers
Search
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Blog
Data-centric Foundation Model Development: Bridging the gap between foundation models and enterprise AI
November 17, 2022
Alex Ratner
June 10, 2023
The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond
June 8, 2023
Future of Data-Centric AI day 1: LLMs changed the world
June 2, 2023
How to import Databricks data into Snorkel Flow
May 31, 2023
How MLCommons is democratizing data with public datasets
May 26, 2023
Snowflake Snowpark: cloud SQL and Python ML pipelines
May 25, 2023
Large language models: their history, capabilities and limitations
May 24, 2023
Luminaries and enterprise veterans to speak at Future of Data-centric AI
May 18, 2023
Stanford professor on data-centric AI for healthcare and medicine
Read More
Events
The Future of Data-Centric AI
May 26, 2022
NVIDIA GTC
March 24, 2022
EmTech Digital
February 7, 2022
FFDCAI
February 7, 2022
NVIDIA GTC
February 7, 2022
Deep Learning Summit
February 7, 2022
TMLS
November 12, 2021
Intel Innovation 2021
October 29, 2021
Read More
Press
Snorkel AI Heads Into 2023 With Record Momentum and Growth
January 18, 2023
January 25, 2023
Snorkel AI partners with Snowflake to bring data-centric AI to the Snowflake Data Cloud
December 12, 2022
Snorkel AI Partners with Advanced Analytics Consultancy Aimpoint Digital
November 22, 2022
Deepening Snorkel AI’s partnership with Microsoft Azure AI
November 17, 2022
Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI
November 17, 2022
AI startup Snorkel preps a new kind of expert for enterprise AI
November 17, 2022
Snorkel dives into data labeling and foundation AI models
July 28, 2022
Here’s why a gold rush of NLP startups is about to arrive
June 16, 2022
Snorkel AI Named a 2022 Gartner® Cool Vendor
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Research papers
On the Opportunities and Risks of Foundation Models
March 15, 2023
Anomaly Detection with Multiple Reference Datasets
March 15, 2023
Ask Me Anything: A simple strategy for prompting language models.
March 15, 2023
Contrastive Adapters for Foundation Model Group Robustness
March 15, 2023
Zero-Shot Learning with Common Sense Knowledge Graphs
March 15, 2023
Binary Classification with Positive Labeling Sources
March 15, 2023
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
March 15, 2023
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
March 15, 2023
Lifting Weak Supervision To Structured Prediction
Read More
Are you ready to dive in?
Label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly—all in one platform.
Request a demo
The Future of Data-Centric AI
June 7-8, 2023
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