Technologies, trends and theories:
knowledge at the cutting edge.

Our knowledge base contains information, interesting facts and selected articles on the latest trends and current developments on global labor markets and in the world of semantic technologies relating to human resources and recruitment, occupation (big) data and ontologies / knowledge graphs, job classifications, CV parsing, skills and job matching and much more.

Would you buy a wheel if someone told you it was a bicycle?

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After recently stumbling upon this Forbes post from 2019, and with skills ontologies entering the Gartner HCM Tech hype cycle, we decided it’s high time to discuss the difference between taxonomies and ontologies again. Although we have been developing and explaining our ontology for over 10 years, many HR and labor market professionals still let themselves be sold on the idea that a taxonomy is good enough for jobs and skills matching.  » Read more about: Would you buy a wheel if someone told you it was a bicycle?  »

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Sorry folks, but “Microsoft Office” is NOT a skill.

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One of the most prominent buzzwords around employment, employability and workforce management is skills. There is a lot of noise surrounding this concept and its fellow buzzwords like reskilling, upskilling, skills matching, skills alignment, skill gaps, skills anticipation, skills prediction, and so on. One can find myriad publications and posts explaining why skills are so important, how to analyze skills supply and demand, how to develop active labor market policies based on skills, how to manage and develop employee skills – as well as the many sites listing the “most in-demand skills” of the year.  » Read more about: Sorry folks, but “Microsoft Office” is NOT a skill.  »

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Cutting through the BS

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Adaptability and flexibility, digital skills, creativity and innovation, emotional intelligence… Since the pandemic went global, everyone has been talking about the top post-COVID skills employees will need. Going through numerous posts from Forbes over Randstad to EURES, it seems that the key point they have in common is that they are untransparent if not completely unfounded. Despite all the noise they generate, none of these posts give any insight into what data their claims are based on – or whether they have any data at all.  » Read more about: Cutting through the BS  »

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JANZZ named as a Sample Vendor for Skills Ontologies in Gartner Hype Cycle for HCM Tech 2020

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We are proud to announce that JANZZ.technology has been identified by Gartner as a Sample Vendor of Skills Ontologies in the Hype Cycle for Human Capital Management Technology 2020. This recognition validates the innovative approach of our solutions for businesses and public employment services based on our unique multilingual job and skills ontology.
What is the Gartner Hype Cycle?
“Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities.  » Read more about: JANZZ named as a Sample Vendor for Skills Ontologies in Gartner Hype Cycle for HCM Tech 2020  »

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JANZZ.technology in a recent ILO report: From big data to smart data

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Big data and AI still have a hard time today in gaining traction in the field of HR and employment services due to the poor quality and lack of explanatory power in the data. As JANZZ explains in a recent ILO report, any predictive analysis based on big data and determined by a large number of variables is rather inaccurate. The longer the time horizon and more variables included, the less likely such prediction is going to be completely or even partially close to reality.  » Read more about: JANZZ.technology in a recent ILO report: From big data to smart data  »

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