550K live job postings, four AI engines, one regional skills referential.
How a French regional government built its skills referential from 550,000 live job postings
ROME, France's national job taxonomy, hasn't kept pace with how enterprises describe work, so one regional government rebuilt its referential from the labor market itself: four AI engines reading 550,000 live job postings, continuously extracting skills, skill-blocks, jobs, and training paths, behind a €1.5B skills-investment pact.
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The blueprint behind a self-updating skills referential
Job ad in, skill graph out: four AI engines mapping the relationships between skills, blocks, jobs, and trainings.
‘Android Développer’ sits next to ‘iOS Développeur’: mobility paths surfaced by the data itself.
Pick a territory, see who's hiring. Pick a job, get its mobility map: months of consultant work, now turned into one dropdown.
Download the case study of Région Hauts-de-France
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