Tag: data labeling
Snorkel AI Expands Platform with New Tools for Data-Centric AI
Snorkel AI recently announced updates to its flagship Snorkel Flow platform aimed at enhancing the customization of AI and ML models while minimizing the time, cost, and complexity involved in data preparation for enterp Read more…
Appen CEO Ryan Kolln Discusses the Data Annotation and Labeling Biz on the Big Data Debrief
Appen CEO Ryan Kolln recently joined us on the innaugural edition of the Big Data Debrief to talk about Appen’s work in data annotation and labeling, and how the rise of GenAI will impact the world’s appetite for tru Read more…
Can Scale Become the ‘Data Foundry’ for AI?
Scale AI, which provides data labeling and annotation software and services to organizations like OpenAI, Meta, and the Department of Defense, this week announced a $1-billion funding round at a valuation of nearly $14 b Read more…
Snorkel Flow Update Offers Enhanced Enterprise Data Management Capabilities
Snorkel AI has announced a major update to its flagship data labeling, filtering, curation, and AI fine-tuning platform named Snorfel Flow. The latest update aims to address one of the most pressing challenges for compan Read more…
The Top Five Data Labeling Firms According to Everest Group
The process of annotating and labeling data is critical for supervised learning tasks, such as training a large language model (LLM) and other types of machine learning models. However, the need for human cognition and i Read more…
Data At More Than Half Of Companies Will Not Be AI-Ready By The End of 2024
The latest string of evolutions in generative AI has companies everywhere excited about the potential of the technology. Business leaders in every industry are giving in to the FOMO, and racing to check “implement AI� Read more…
The Human Touch in LLMs and GenAI: Shaping the Future of AI Interaction
Today's AI has evolved around the concept of recognition, which has undeniably been the linchpin of its progress. The ability of AI to decipher text, speech, images, and video, executing intricate functions based on the Read more…
Saving Sea Turtles with SAS’s ConserVision App
In case you missed it, Tuesday was World Turtle Day, as designated by the non-profit organization American Tortoise Rescue. Even if turtle conservation wasn’t on your to-do list this week, the folks at SAS have a way f Read more…
How Data-Centric AI Bolsters Deep Learning for the Small-Data Masses
It’s no coincidence that deep learning became popular in the AI community following the rise of big data, since neural networks require huge amounts of data to train. But organizations with much smaller data sets can b Read more…
Data Labeling Firm AIMMO Announces $12M in Series A Funding
Founded in 2016, AIMMO has launched a series of data annotation tools aimed at supporting the transition to a smarter, AI-powered future. Now, the company has announced its first funding round: a Series A that succeeded Read more…
Better Machine Learning Demands Better Data Labeling
Money can’t buy you happiness (although you can reportedly lease it for a while). It definitely cannot buy you love. And the rumor is money also cannot buy you large troves of labeled data that are ready to be plugged Read more…
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…
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