Utrecht, March 26, 2019 - The PEPTalk of June 2018 focused on Profiling, which allows a PES to divide jobseekers into target groups based on predetermined rules and to subsequently provide these groups with more targeted matches, guided by an AI-driven knowledge model. In the PEPTalk of March 26, VDAB presented how, in close cooperation with WCC, they have put advanced AI techniques to use in their daily practice, with the aim of taking their job matching to a higher level.
Using AI techniques in order to improve job matching is not simply a matter of using an off-the-shelf algorithm and then expecting miracles – VDAB uses highly targeted AI techniques for very specific purposes, in a process in which there is also close collaboration with domain experts. Mrs. Ria Deketele presented how VDAB is now using data analysis and machine learning to determine relevant target groups of jobseekers that require more tailored matching strategies. She showed how by means of a qualitative tuning process, specific rules and matching criteria have been applied in order to improve these jobseekers’ chances in the job market.
WCC’s data scientist Dr. Alexander Hogenboom explains how the effects of this tuning can be quantitatively evaluated by means of data analysis. WCC offers these analyses in the form of a seven-step approached available as WCC’s Matching Lab. Details on Matching Lab are described in a white paper which is available for download here.
Finally, the webinar discusses how talent expectations and company culture information can potentially enrich the match process even further.
The PEPTalk started with a visionary introduction of Mr. Fons Leroy, director of VDAB.
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