Our customers process incredibly large datasets, often hundreds of thousands of data rows per job resulting in millions upon millions of data units. That data can be as small as social media comments or as large as videos from autonomous vehicles.
Labeling, analyzing, and annotating that training data is a big job. It’s one we take seriously. Yet, often times, it’s really just the tip of the iceberg. That’s because machine learning algorithms can use that hand-labeled data to make predictions on a massive scale. And when hundreds of thousands or millions of rows of labeled data can train a classifier to make billions upon billions of predictions, the data that algorithm learns from needs to precise.
CrowdFlower has been providing that kind of high-quality, accurate data for years to some of the most innovative companies in the world. And today, we’re proud to announce that we’ll be bringing that AI expertise to Amazon Web Services.
We’re joining the AWS partner network as an inaugural member of their brand new machine learning competency. From EC2 to RedShift and S3, we’ve long taken advantage of the AWS ecosystem at CrowdFlower, and we’re thrilled to bring our unique ability to build custom models to their growing network.