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Snorkel AI Case Studies

  • How Georgetown University’s CSET uses Snorkel Flow to build NLP applications to inform policy research

    Catherine AikenDirector of Data Science and Research

  • Georgetown University’s CSET - Customer Case Study

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    Their mission is to help companies accelerate their AI development by providing core data related solutions, significantly reducing the time to market. They enable computer vision and perception teams across the world to effortlessly build and manage ground truth data with their smart annotation tools and fully managed labeling services. Today, Playment forms an essential part of a computer vision engineer's toolkit as a reliable training and validation data bank. They are a small team of young creators and technology enthusiasts with an unsatiable hunger to make things happen faster than expected. Playmentie's believe in the world made super efficient with AI and work hard every single day to make it a reality than merely a hyped science fiction.

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    Yo!Kart is a feature-rich multi-vendor marketplace software for building online marketplaces. It is the cost-effective, scalable, and easy to use platform, especially for those aspiring entrepreneurs who don’t have time to deal with programming and technical matters. It’s designed to help entrepreneurs in their journey towards commercial success. The platform is replete with in-built ecommerce features and offers mobile apps for buyers and sellers. Apart from cutting edge performance, it offers free technical support for one year.

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    iMerit is working with customers to enrich and label their data and to achieve the best results from their algorithms. All the work powers advanced algorithms in machine learning, computer vision, natural language understanding, e-commerce, augmented reality, and data analytics. They work on data for transformative technologies such as advancing cancer cell research, optimizing crop yields, and training driverless cars to understand their environment.

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