Walking safely before building flying saucer seatbelts: introducing Enterprise Alignment

Snorkel takes a step on the path to enterprise superalignment with new data development workflows for enterprise alignment

Alex Ratner, Tom Walshe, Chris Glaze, Fred Sala, Paroma Varma, Hoang Tran
May 20, 2024

Latest posts

  • Data-centric Foundation Model Development: Bridging the gap between foundation models and enterprise AI
    November 17, 2022Alex Ratner
    - Introducing new capabilities for Data-centric Foundation Model Development in Snorkel Flow New Snorkel Flow capabilities for Data-centric Foundation Model Development bridge the adaptation and deployment gaps between foundation models and enterprise AI. Powerful new large language or foundation models (FMs) like GPT-3, Stable Diffusion, BERT, and more have taken the… ...
  • 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?
    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… ...
  • 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… ...
  • Top-10 US bank uses AI/ML to triage loan documents based on risk exposure
    September 30, 2022Nick Harvey
    - To meet the requirements of unexpected regulatory changes brought on by the pandemic, a top-10 US bank needed to urgently adapt its underperforming model-centric artificial intelligence and machine learning development approach to a data-centric one. The team used Snorkel Flow to automatically classify thousands of loan documents and extract critical… ...
  • How Schlumberger uses Snorkel Flow to enhance proactive well management
    September 30, 2022Nick Harvey
    - Schlumberger is the world's leading provider of technology and services for the energy industry, operating in over 120 countries. The company provides well maintenance and analytics services to the world's biggest oil companies, and it believes that large-scale data analysis and artificial intelligence/machine learning will help them remain a leader… ...
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