Artificial intelligence selects best candidate
Artificial intelligence selects best candidateUniversity of Groningen / Gert Gritter / Communication Office UG
Looking for needles in gigantic virtual haystacks? Or drawing-pins? Staples? The staff at Target Holding are never flummoxed by the huge volumes of digital data their clients supply them with. Artificial intelligence is often the key to spectacular results, helping companies to deploy both their human and their financial resources more efficiently.
As well as being Senior Machine Learning Engineer at Target Holding (a UG spin-off), Jean-Paul van Oosten is also a PhD student. Both his PhD research and his work revolve around highly diverse ‘mountains of data’, in which smart systems recognize patterns and make connections. He does this using Machine Learning (ML). ML is the term used for the self-learning capacity of intelligent computers, which allows data to be enriched. One of the applications discovered by Van Oosten and his colleagues is a method for selecting the best candidates for a job from hundreds of curricula vitae and letters of application. The task of going through the electronic post to find suitable candidates takes HR staff many hours, but AI systems can do it in just seconds. The systems are programmed to identify relevant combinations of data, ignore unimportant information and weigh up the data.