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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 »
The IDB is an important driver of artificial intelligence as a tool to address challenges in the labor markets in Latin America and the Caribbean (LAC). As part of the IDB’s fAIr LAC initiative studies, they recently published an interesting report on how to utilize AI for labor intermediation in public employment services (PES). This technical paper provides an overview of key aspects considered by PES when deciding to adopt AI for their operations, » Read more about: JANZZ’s job matching platform ParaEmpleo singled out by the IDB as an AI success story »
We are proud to share that Seedtable has selected JANZZ as one of Zurich’s 96 best tech startups to watch in 2020.
JANZZ has been busy developing and implementing semantic technology for job matching and CV parsing, making progress in leaps and bounds this year. Our products and solutions are now deployed by several public employment services around the world, as well as by large private corporations, and are endorsed by organizations such as World Bank, » Read more about: JANZZ.technology listed as one of the best tech startups in Zurich »
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 »
In previous articles (The silver workforce, The world’s most homogeneous society is opening new doors) we have talked about the aging and shrinking working-age population in Japan and how Japan is taking measures to deal with the implications of this demographic issue, including extending retirement ages and welcoming migrant workers. This article focuses on another of Japan’s options to boost workforce: the large number of women that are held back or excluded from the labor market. » Read more about: Global Labor Market Insights: More quality jobs are needed for female part-timers »