CareerBuilder acquired Textkernel, an Amsterdam-based company focused on AI, machine learning and semantic technology designed for matching candidates to jobs. The company said the purchase was part of a wider investment in AI and machine learning. However, the company will also apply its new tools to candidate-facing products. Careerbuilder said Textkernel's capabilities will also help candidates quickly build personalized mobile resumes, suggest more relevant jobs based on their skills and experience and uncover patterns to help job seekers prepare for their next role. The acquisition also strengthens CareerBuilder's data science team by connecting more than 200 data scientists, engineers and AI specialists to work on its Hello To Hire process.

The World Economic Forum (WEF) is upon us this week, and the Future of Work is one of its key themes. This is a good opportunity to catch up on the trends unfolding in this domain right now, and to ponder on the insights of the people taking note and shaping this discussion. Automation and AI is part of this discussion as well, with the jury still out as to how exactly this will shape labor, workforce dynamics, and workplace transformation among others. Based on the WEF's latest report on the Future of Jobs, we highlight the major forces at play today. We discuss how these effect the technology behind the job market with Panos Alexopoulos, Head of Ontology at Textkernel, a Careerbuilder company.

You can read the full interview about the future of recruitment and how AI and Machine Learning will have an impact on the HR industry below in Textkernel's blog post. There's been a lot of talk about AI and Machine Learning in the staffing and recruiting industry, but let's define the problem space. If you think about the entire lifecycle of the recruiting process, in the next 5-10 years where will machines really make a difference and where will humans continue to be able to add value? Will recruiters have jobs in 2025? To me, it is without a doubt by now, that AI and Machine Learning will have a huge impact on all areas of business.

For the human eye reading a CV (resume) or a job ad is an easy task. These semi-structured documents are usually separated in sections and have layouts that makes it easy to quickly identify important information. In contrast, a computer system that parses CVs needs to be continuously trained and adapted to deal with the endless expressivity of human language. As a leader in the field of language technology, Textkernel is working hard to provide the best CV parser to our customers. In this blog article I will explain how we achieve this and discuss the focus of our current research efforts.

Intelligent Machines and the Future of Recruitment is the conference, organised by Textkernel in honour of its 15th anniversary, that explores the impact of rapidly evolving machine intelligence on the future of people and jobs. Among the speakers are Glen Cathey (Kforce), Behshad Behzadi(Google), Federico Pistono (author), Maarten de Rijke (University of Amsterdam),Martin le Vrang (ESCO), Perry Timms (Media Zoo), Ton Sluiter (USG People),Balazs Paroczay (Randstad Sourceright) and Prof. Dr. Armin Trost (Furtwangen University). "The rise of machine learning, search engines, semantic technologies and the large amounts of available information are changing the labour market," says Jakub Zavrel, CEO of Textkernel. "When I started the company 15 years ago, the use of AI in recruiting was still in its infancy. Companies like us have been making AI and semantic search technology part of the mainstream. What better way to celebrate Textkernel's anniversary than to organise a conference to spark the discussion on how artificial intelligence will evolve and change the way we hire and work."