Figure Eight creates solution to streamline AI training data
Figure Eight, an Appen company, is introducing Workflows, a new feature that automates the creation of complex data annotation jobs at scale.
The new solution makes it possible for non-technical users to create granular, plug-and-play, multi-step annotation projects, removing bottlenecks and lowering the cost of data annotation across the board.
Workflows helps customers employ complex data-annotation tasks at scale to improve their business processes and customer experiences.
Workflows also provides the flexibility to target different contributors for every annotation step, so that only highly skilled contributors handle the most difficult steps.
“Overly complex data-annotation jobs increase the cognitive load on the global crowd tasked with labeling vast quantities of training data,” said Wilson Pang, CTO, Appen. “To help create high-quality machine learning data more effectively, we’ve developed technology that streamlines the annotation process. Workflows easily connects multiple, more specific jobs within large annotation projects to optimize the process for quality and improve the experience for both AI experts and the annotation crowd.”
Other benefits include:
- - Plug-and-play operability: Workflows uses a graphical user interface to enable anyone, regardless of technical skill, to configure operators with routing rules.
- - Automation: Workflows automates data routing and the aggregation of results into a single report, which eliminates bottlenecks of managing the annotation process manually.
- - Improved quality: Workflows enables customers to break complex projects down into smaller tasks, which reduces cognitive load for contributors and optimizes for data-annotation quality.
- - Lower costs at scale: Machine Learning-Assisted Data Labeling (MLADL) combines human annotation with machine learning to deliver annotated data up to 20 times faster at up to a 50% lower cost.
For more information about this news, visit www.figure-eight.com.