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Jens Snuverink en Ruben van der Poel

AI and skills management: what can it really do for your organization?

As an HR professional, finding the right skills is becoming increasingly complex. How do you ensure that your people are future-ready while the required skills keep evolving? Artificial intelligence (AI) is a major theme in HR today. But where should you start if you want to leverage AI for skills management? In this blog, you’ll discover practical AI solutions for skills management that you can implement right away. Build, borrow, buy, or automate skills to increase resilience and mobility within your organization.

What is skills management, and what role does AI play?

Skills management identifies the skills employees need and helps to develop and manage them. Skills range from foundational abilities to complex knowledge, such as coding or medical procedures. AI plays a crucial role here. Using AI in skills management offers:

  • Insights into current and future skills needs

  • The ability to quickly respond to market changes

  • Support in reaching personal and organizational goals

  • A clear job structure with centrally managed skills as a foundation

SuccessFactors: smart skills management with AI

SuccessFactors leverages AI and machine learning to effectively manage and develop skills. The talent intelligence hub centralizes skills in the attributes library, linking them to roles, projects, or training within your organization.

The “growth portfolio” enables employees to track and develop their own skills. AI automatically identifies missing or needed skills and recommends training and growth opportunities. Additionally, AI assists recruiters in efficiently screening resumes and instantly assessing candidate alignment with job requirements. This provides a complete overview of available skills, building an agile, future-proof organization. So, how can you get started?

The step-by-step guide to AI-driven skills management

  • Select a target group, such as developers.

  • Define essential skills like programming languages and frameworks, and add these to the attributes library.

  • Define core attributes like problem-solving and teamwork.

  • Encourage the target group to track their skills in their growth portfolio.

  • Use AI to analyze and offer personalized development suggestions, such as new technologies.

With each phase, the system adds new groups and makes AI-driven recommendations for all groups. This creates a comprehensive overview of skills, allowing HR and management to strategically invest in development and (internal) mobility.

Why skills management is essential

In a dynamic, competitive market, skills management is crucial. With an AI-driven framework like the talent intelligence hub, you not only map current skills but also anticipate future needs. A clear job structure and centralized skill set form the foundation, enabling your organization to adapt quickly and helping employees develop the right skills to achieve both personal and organizational goals.

Ready to apply AI in skills management?

Our McCoy HRx team is here to assist with a practical AI and skills use case that will future-proof your organization. Watch our McCoy TV video for more insights: SAP Joule AI in SAP SuccessFactors - the future of HR tech is now.

 

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