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Tag: data labeling

Automated Data Labeler Snorkel AI Lands $85M in VC Funding

For many enterprises using AI, one of the biggest bottlenecks continues to be the difficulty in getting all their critical data into clearly sorted and labeled groups so it can be used to drive business value. Much of Read more…

Toloka Expands Data Labeling Service

Data labeler Toloka is heading to India to tap into the subcontinent’s vast pool of English-speaking workers. The firm, which was founded in Russia and is incorporated in Switzerland, says the expansion will grow its n Read more…

Scale AI Gets A $325M Series E Funding Infusion to Grow Its Data Annotation Mission

Data annotation and labeling startup Scale AI is taking in another $325 million in new investment, this time through a Series E round. The San Francisco-based company, which was founded in 2016, works to help enterpri Read more…

Synthetic Data: Sometimes Better Than the Real Thing

Having a large stockpile of data is still a prerequisite for advanced analytics and AI. But companies building AI models increasingly are finding that artificially created data can be just as good as the real thing. And Read more…

Why Human Integration Is Critical to the Future of AI

Progress in AI technology promises to usher in a new era of automation and innovation. But will advances in machine intelligence and the march toward automation displace human intelligence? Half of businesses have alr Read more…

Dataloop Drives Labeling Into the DataOps Pipeline

Data is the fuel for machine learning, but the data needs to be accurately labeled for the machines to learn. To that end, data training startup Dataloop yesterday unveiled that it’s received $11 million in Series A fu Read more…

AWS Upgrades SageMaker Labeling Tool

Amazon Web Services has added a 3D visualization capability to its SageMaker data labeling tool used to build training data sets for machine learning models. AWS said this week its SageMaker data labeling service call Read more…

Automatic Data Labeling Gains Momentum with New IBM and Labelbox Announcements

Data is powerful, but labeling data makes it useful. Labeled data (data that has been appended with informative tags about its contents – say, whether a photo is of a person or an animal) can be used to quickly train m Read more…

2019: A Big Data Year in Review – Part One

At the beginning of the year, we set out 10 big data trends to watch in 2019. We correctly called some of what unfolded, including a renewed focus on data management and continued rise of Kubernetes (that wasn’t hard t Read more…

Big Data Meltdown: How Unclean, Unlabeled, and Poorly Managed Data Dooms AI

We may be living in the fourth industrial age and on cusp of huge advances in automation powered by AI. But according to the latest data, our great future will be less rosy if enterprises don't start doing something abou Read more…

Machine Teaching Will Drive Crowdsourced Cognition into the AI Pipeline

Building high-quality artificial intelligence (AI) is hard work. It’s a specialized discipline that historically has required highly skilled specialists, aka data scientists. Any time you require some highly skilled Read more…

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