SkyHive®, a labor analytics firm has 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.
It leverages SkyHive’s Deep Generative Model and 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.”Mohan Reddy
The invention leverages SkyHive’s renowned global streaming labor market data intelligence, which enables corporations and governments to attract qualified candidates at skill level specificity, incorporate emerging and current skills-gap insights into their recruitment processes and retention strategies, and ensure DEI-appropriate alternatives by removing the inherent bias that exists in traditional job profiles.