This video is part of the Machine Intelligence Summit, Berlin, 2016 Event. If you would like to access all of the videos please click here.

Machine Intelligence for Better Matching People & Jobs

Recent years have seen an explosion in the intelligent technologies for processing, understanding, analyzing, searching and interacting with data. The presentation will focus on the opportunities that these technologies have opened for the Human Resources domain. I will discuss how Deep Learning and Big Data is revolutionizing the semantic understanding of the job market dynamics. I will also present how we can match people and jobs better by learning from various forms of feedback and by making the matching process more conversational.

Mihai Rotaru, Head of Research and Development at Textkernel

Mihai Rotaru is the Head of R&D at Textkernel where he is responsible for the research agenda and for coordinating the joint research efforts with the parent company, CareerBuilder. In this role he is guiding 3 teams: the Document Understanding team which builds the resume and job parsing product, the Search R&D team which is improving the Search & Match product and the Ontology team which builds the HR domain knowledge graph. Originally from Romania, he joined Textkernel in 2008 after obtaining a PhD degree in Computer Science at University of Pittsburgh, USA. Among others, he is interested in Machine Learning, NLP, Deep Learning and how these new technologies can be applied in industry.