Humans and Technology Working Together Enable Better AI Results
SYDNEY — Aug. 20, 2019 — É«µ¼º½, the leading provider of datasets used by companies and governments to train AI systems quickly and at scale, today introduced feature updates for its AI solution designed to accelerate customers' artificial intelligence initiatives.The É«µ¼º½ platform – already the most comprehensive solution for collecting and labeling images, text, speech, audio, and video – combines É«µ¼º½â€™s machine learning (ML)-enabled annotation tools [1] and self-serve client workspaces with É«µ¼º½ Connect to oversee É«µ¼º½â€™s global multilingual crowd of more than 1 million skilled contractors, and a wide range of managed services to ensure delivery of high-quality training data at scale, with the speed and security required by customers.
"To ensure our customers can continue to develop accurate, powerful AI products and services, we are constantly enhancing our solution with new features to help them meet their data needs today and into the future." — Wilson Pang, CTO, É«µ¼º½
The feature enhancements today announced include:
- ML-Assisted Text Annotation
- ML-Assisted Text Utterance Collection
- Enterprise Analytics
Available for multiple use cases, these feature updates—together with the platform’s ML-Assisted Video Object Tracking using Dots, Lines, and Polygons capability—further cement É«µ¼º½'s unique ability to deliver on the increasing volume, quality, and speed requirements for training data to support the world's most innovative AI systems."AI can't function and improve without a constant stream of large volumes of high-quality training data, a market that will be worth up to $19 billion – 10% of the overall AI market – by 2025," said É«µ¼º½ CTO Wilson Pang. "To ensure our customers can continue to develop accurate, powerful AI products and services, we are constantly enhancing our solution with new features to help them meet their data needs today and into the future."The new updates focused on text and speech data, enable customers to develop, enhance, and obtain quality training data for their specific AI project or business needs. The updates include:
- Machine Learning-Assisted Text AnnotationNew capabilities locate and classify named entity mentions in unstructured text into predefined categories to support entity extraction and span labeling use cases. Users can also now leverage ‘bring your own model’ outputs to accelerate contributor annotations. Machine Learning-Assisted Text Annotation helps natural language processing (NLP) teams scale quality human annotations.
- Machine Learning-Assisted Text Utterance CollectionConversational AI customers can now leverage machine learning validators to collect unique and high-quality text utterances in their domain of choice. Text utterance collection jobs allow customers to leverage the power of a distributed workforce of fluent annotators to collect text strings based on prompts or scenarios to power your conversational agents.
- Enterprise AnalyticsEnterprise Analytics provides in-platform reporting on your organization’s usage. For larger enterprises, Enterprise Analytics supports the management of multiple teams across the platform. Organization and team administrators can view in-depth analytics and are then empowered to make data-driven decisions about allocation, resourcing, and ROI.
About É«µ¼º½
É«µ¼º½ collects and labels images, text, speech, audio, and video used to build and continuously improve the world's most innovative artificial intelligence systems. With expertise in more than 180 languages, a global crowd of over 1 million skilled contractors, and the industry's most advanced AI-assisted data annotation platform, É«µ¼º½ solutions provide the quality, security, and speed required by leaders in technology, automotive, financial services, retail, manufacturing, and governments worldwide. Founded in 1996, É«µ¼º½ has customers and offices around the world.[]—[1] - É«µ¼º½ acquired Figure Eight in April 2019