Competing in the age of artificial intelligence (AI) means that you’re only as good as your ability to wrangle the new “oil” or “currency”—data. To derive meaning from data for applications, AI solutions rely on a tremendous undertaking in data labeling and annotation. As we highlighted last year, data labeling can become the biggest bottleneck for machine learning projects if enterprises don’t have a game plan going into the project. Austin, Texas-based startup Alegion is one of the many startups trying to solve this challenge using a combination of human labelers and a technology platform.
April 20, 2021 Your mega-compendium of HFS OneOffice Hot Vendors organised by change agents, business services, IT services, industry and A-Z.
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