• Snorkel AI Team Presents Research at NeurIPS 2022
    November 29, 2022Snorkel Research Team
    - The Snorkel AI team will present five research papers advancing weak supervision and programmatic labeling at the NeurIPS 2022 conference that started this week. ...
  • Deepening Snorkel AI’s partnership with Microsoft Azure AI
    November 22, 2022Henry Ehrenberg
    - Snorkel AI is excited to build on our partnership with Microsoft Azure to help enterprises and government agencies solve their most impactful problems and unlock value from their data using AI. Learn how Azure customers can easily deploy Snorkel Flow on their Azure cloud infrastructure to accelerate AI application development… ...
  • Better not bigger: How to get GPT-3 quality at 0.1% the cost
    November 17, 2022Steve Bach, Jason Fries, Braden Hancock
    - We created Data-centric Foundation Model Development to bridge the gaps between foundation models and enterprise AI. New Snorkel Flow capabilities (Foundation Model Fine-tuning, Warm Start, and Prompt Builder) give data science and machine learning teams the tools they need to effectively put foundation models (FMs) to use for performance-critical enterprise… ...
  • What can data-centric AI learn from data & ML engineering by Databrick’s Chief Technologist Matei Zaharia
    November 5, 2022Team Snorkel
    - Databricks' Chief Technologist: Data-Centric AI can learn from Data Engineering and ML Engineering in five ways: continuous updates, versioning, code-centric deployment, data privatization and actionable monitoring. ...
  • Building an NLP application to analyze ESG factors in Earnings Calls using Snorkel Flow
    November 3, 2022Amir Imani
    - Create a data-centric AI application using Snorkel Flow to save your analysts time of manual labeling and information extraction related to environmental, social, and governance (ESG) factors from earnings call transcripts. Rapidly and accurately extract all existing and new factors from the transcripts to make the right investment decision. ...
  • How a big four consulting firm used NLP to monitor news for audits with Snorkel Flow
    November 2, 2022Nick Harvey
    - A big four consulting company wanted to use AI to analyze news articles and extract crucial information that would be helpful to their vast team of auditors. Using Snorkel Flow, the data science team was able to automate data labeling and build an NLP application in a matter of days… ...
  • How a global insurance leader used NLP to classify claims root-cause with Snorkel Flow
    November 2, 2022Nick Harvey
    - A global insurance leader wanted to use NLP to discover the root cause of insurance claims, but they were blocked due to a lack of a tenable process to label data. Thanks to Snorkel Flow, the data science team could unblock data labeling and build an AI application that reduces… ...
  • Building Trustworthy AI applications with data-centric AI
    October 4, 2022Arjun Prakash
    - AI is generally accepted as necessary for organizations across private and public sectors to build (or maintain) a competitive advantage. However, a major challenge to adopting AI successfully is our ability to build reliable, predictable, and equitable solutions. A critical flaw with traditional approaches to developing AI is the reliance… ...
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