SkyHive®, the pioneer of Quantum Labor Analysis® for the rapid reskilling of workers and communities across the globe, today announced that the U.S. Patent and Trademark Office (USPTO) has issued U.S. Patent No. 11,373,146 titled, “Job Description Generation Based on Machine Learning.”
The Job Description Generator (JDG), part of SkyHive’s Workforce Architecture solutions, removes the need for writing traditional job descriptions and automates job description creation by using a combination of machine learning and statistical analysis of job-related data. The JDG leverages SkyHive’s uniquely developed Deep Generative Model and the world’s largest Labor Market Knowledge Graph to create job descriptions that are accurate to real-time labor market conditions with a bias-free, skill-centric intelligence contextualized to the user.
“We are pleased that the USPTO has once again recognized SkyHive’s revolutionary technology by issuing this patent,” said Mohan Reddy, CTO of SkyHive. “This innovation reflects the positive transformation SkyHive is bringing to recruitment, retention and reskilling practices in organizations and communities around the world. No other entity has applied data science to human capital management at an equivalent robust and granular level.”