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Why we will always need humans to train AI -- sometimes in real-time - KDnuggets

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AI and machine learning are now undeniably part of our everyday lives. We encounter it more often than we may realize. What was once a seemingly advanced technology is even gaining prominence even in places we take for granted, like grocery stores and on our own personal devices. You've probably seen reports of increasingly more popular in-store robots that detect spills and other hazards, check store inventory, and help with gathering online orders. Perhaps you've even seen it at your own local grocery store.


AI training and social network content moderation services bring TaskUs a $250 million windfall

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TaskUs, the business process outsourcing service that moderates content, annotates information and handles back office customer support for some of the world's largest tech companies, has raised $250 million in an investment from funds managed by the New York-based private equity giant, Blackstone Group. It's been ten years since TaskUs was founded with a $20,000 investment from its two co-founders, and the new deal, which values the decade-old company at $500 million before the money even comes in, is proof of how much has changed for the service in the years since it was founded. The Santa Monica-based company, which began as a browser-based virtual assistant company -- "You send us a task and we get the task done," recalled TaskUs chief executive Bryce Maddock -- is now one of the main providers in the growing field of content moderation for social networks and content annotation for training the algorithms that power artificial intelligence services around the world. "What I can tell you is we do content moderation for almost every major social network and it's the fastest growing part of our business today," Maddock said. From a network of offices spanning the globe from Mexico to Taiwan and the Philippines to the U.S., the thirty two year-old co-founders Maddock and Jaspar Weir have created a business that's largest growth stems from snuffing out the distribution of snuff films; child pornography; inappropriate political content and the trails of human trafficking from the user and advertiser generated content on some of the world's largest social networks.