Talent intelligence software employs AI frameworks or features to assist with talent acquisition or management processes. It helps with recruiting, candidate engagement, interview automation or transcription, upskilling, reskilling, skills management, and other talent acquisition or management tasks.
The AI at the core of talent intelligence software sometimes uses machine learning (ML) to study datasets and learn, personalize, and optimize for company-specific talent requirements. The more a talent-based AI works, the more it learns, allowing HR departments and users to optimize the solution based on their business needs. It helps recruiters find better matches which will help reduce turnover rate, provides better testing to screen candidates, helps automate and provide transcription for interviews, and has many other applications in developing, retaining, and selecting talent.
Talent intelligence solutions focused on recruiting might provide features including skills, resume, keyword, or search engine scanning, as well as diversity recruiting tools, candidate relationship management, and analytics. Meanwhile, solutions focused on talent management often include features that provide their employees with career development and succession planning and management. Talent intelligence software also frequently integrates with applicant tracking systems (ATS) or compensation management software.
To qualify for inclusion in the Talent Intelligence category, a product must:
- Provide AI that addresses talent management solutions, talent acquisition software, or both
- Use AI to accomplish recruiting or talent management functions such as candidate matching, identifying or eliminating bias, or skills management
- Automate talent-based tasks that normally require manual input
