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"The biggest challenge we have—which is true of any AI/ML project, but is especially so in clinical contexts—is how do we label [training] data? Our labelers are physicians and researchers, their time is very expensive.”
“It took me a long time to build the Regex model [outside of Snorkel Flow]; I read hundreds, thousands of pathology reports to make it work. Whereas [with Snorkel Flow] it was a few hours to get to the results we achieved—a pretty dramatic difference.”
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Their expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Their reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
CloudFactory is on a mission to change how work gets done. They using technology to making it super easy and affordable for startups and fast growing companies to automate and outsource routine back-office data work. They offer a massive virtualized workforce that can be tapped into three ways, by people, process or project.
Sama provides high-quality training data that powers AI technology. The company’s platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by leading technology companies such as Google, NVIDIA, GM, and Walmart, Sama specializes in image, video, language, and sensor data annotation and validation for machine learning algorithms in industries including manufacturing and robotics, bio and medtech, autonomous vehicles, entertainment, e-commerce, retail, and agriculture.
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