In simple terms, talent intelligence is the practice of using data and AI to inform and enhance every step of the talent life cycle, from acquisition to management. This involves using several data sources, including performance metrics, skills assessments, and market trends, to identify the best talent for an organization, predict future workforce needs, and optimize talent management strategies.

Ultimately, it works to better match people to career opportunities, including full-time roles, projects, contract work, promotions, mentoring, succession planning, and learning and development (L&D) opportunities.

Talent intelligence platforms use deep-learning AI to distill insights from billions of global talent data points to help HR professionals make data-driven decisions throughout the entire talent life cycle. It also helps organizations build a competitive advantage by ensuring they have the right people with the right skills in the right roles.

With an AI-native talent intelligence platform, HR teams can:

• Identify, hire, and build talent with the critical skills needed to drive innovation and capture market share.
• Make informed hiring decisions based on skills and potential while improving the candidate experience.
• Identify skills gaps and developmental needs of current talent.
• Create personalized learning pathways for employees that are complementary to the organization’s strategic goals.
• Improve retention and reduce turnover by better understanding employee engagement and satisfaction through data.
• Locate biases and barriers in hiring and promotion processes.
• Inform data-driven succession planning based on merit, skills, and potential.

Overall, AI-native talent intelligence empowers HR professionals to be more strategic, data-driven, and proactive in their approaches to managing and developing their workforces.