AI Use Case

Scan resumes to improve diversity and quality of candidate pool for recruitment

Scan resumes to improve diversity and quality of candidate pool for recruitment. This will both challenge unconscious bias but also help challenge key gaps in candidate sourcing practice.

Function

Human Resources

Recruitment

Benefits

Operational - Candidate selection,Risk reduction - Reduced legal exposure,Other - Reduce unconscious bias

Case Studies

Opower - an Oracle company~Opower increases female hiring by 18% and minority technical hiring by 600% with the use of machine learning to manage the recruitment life-cycle,"Google~Google improves hiring process, employee on-boarding, training, productivity and retention rate using people analytics",Bharti Airtel~Bharti Airtel reduces time to hire from weeks to days and offer-drop rate from 80% to 26% through predictive hiring,"Unilever~Unilever saved over 50,000 hours in candidate interview time and delivered over £1M annual savings and improved candidate diversity with machine analysis of video-based interviewing."

Industry

Data Sets

Structured / Semi-structured,Images,Text

AI Technologies

Machine Learning (ML),Product Type - Natural Language Processing (NLP)

Potential Vendors

Entelo,Google,HireVue