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“When we changed to Appen, within a few weeks, we saw that labeler accuracy go up to 88% and it stayed in the high 80s and 90s for us ever since, even across a large diversity of models. That’s been a really really big win.”
"For us, a big part of the challenge of making machine learning practical has been shrinking the cycle time between idea and production. We knew we were making progress when we could rapidly rebalance our training data and integrate feedback from our ML team into the process. The iterative cycle …
Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Their advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics …
TELUS International designs, builds and delivers next-generation digital solutions to enhance the customer experience (CX) for global and disruptive brands. The company’s services support the full lifecycle of its clients’ …
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 …
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