The case of: Target Holding or putting the Human in the HR algorithm
Before you can analyze someone’s resume, you have to put their words into math. So where do you start when building a dataset to help you match vacancies with applicants? At Target Holding, a spin-off of the Rijksuniversiteit Groningen, they specialize in better matching of job postings and resumes, based on artificial intelligence.
Jean-Paul van Oosten, Senior Machine Learning Engineer at Target Holding explains how to transform words into math, to make “dictionaries from and for resumes”, for use in human resources and at recruitment agencies. Which is very different from implementing AI for selection within a company, as a single company will almost always have a biased dataset.
The case of: Target Holding or putting the Human in the HR algorithm
The Artificial Intelligence Podcast
AI in Real Life: machine learning, neural networks, deep learning. We’re on the threshold of something big. Join us as we explore what this means, not just for humanity in the future, but also for you and me, tomorrow.
