Matching Talent to the Jobs of Tomorrow A Guidebook for Public Employment Services 2025
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2 Innovative solutions and use cases
How to get started – matching
Outcomes
Faster and more accurate job matching
Actionable data intelligence for further
labour market insights
Enhanced cross-border matching
capabilities Activities
Build or adopt a system to match job
seekers to vacancies
Gather job seeker and employer feedback
to refine matching criteria
Integrate AI tools, when possible,
to improve match quality
Update matching systems with real-time
labour market trends
Promote successful matches to build trust
in the system Prerequisites
Access to robust datasets for matching
Initial implementation of structuring
and validation stages
Algorithm design and implementation
Knowledge of market dynamics and
demand-supply alignment
Key success factors
Transparent and explainable matching
processes
Regular updates to algorithms based
on feedback
Responsiveness to evolving labour
market trendsBasic
SophisticationAccessibility
Tabular data
management toolsOpen-source machine
learning modelsLarge
language
models
GenAIAI (ML and DL
technologies and tools)AdvancedSpecialized solutions Widely accessible
Matching Talent to the Jobs of Tomorrow: A Guidebook for Public Employment Services
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