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.
Remote working, temporary contracts and project-based employment have been shaping the traditional jobs, causing governments and corporations to rethink job offerings in short-term arrangements.
JANZZ.technology has been following the trends, shaping the future of work and collaborating with many labour markets worldwide. We are active in semantic parsing, searching and matching within occupation domain. Our technology can realize data-driven HR decision-making, speed up people analytics and use workforce data for business performance prediction. If you are looking for the right skilled employees or want to identify learning gaps to meet future business needs, » Read more about: Hiring and managing a changing workforce »
When people were still debating the future of flexible working and how technology and digitalization are going to change how we work, after COVID-19, that future has arrived much sooner than anticipated. Gartner stated in its report that 48% of employees will likely work remotely compared to 30% before the pandemic. 
How has the workplace changed over time?
Back in the days, the workplace was much less tech-oriented, and business conversations were conducted through landlines or in person. » Read more about: Perhaps, this time, “working from anywhere” is here to stay »
Many employers struggle to articulate and communicate the skills they value most for a given position and this results in a myriad of variations in the vocabulary used for job postings. Today, with the possibilities opened up by (X)AI automation for recruiting processes, many globally positioned recruiting agencies or HR divisions are tempted to ask if AI could provide a quick fix to these struggles, say, by generating a one-size-fits-all skill profile for a given profession. » Read more about: Standard skill profiles – chasing white rabbits and other myths »
Systematic discrimination against workers age 50+ in candidate selection – or why this is not the issue in the vast majority of cases.
Read on, the following article will not just repeat the same arguments as always on this particularly important topic, which are usually based on assumptions and politically deadlocked positions. We will provide you with new, statistically relevant and number-based arguments that allow you to take a different view on the challenges of older workers and, » Read more about: Workers age 50+: ready for the scrap heap or worth their weight in gold? »
Humans can hardly understand the algorithms used for machine learning and text-driven artificial intelligence applications: How and why decisions are made? Are the results fair, transparent and explainable enough? Are the results biased in one way or another?
Explainable Artificial Intelligence is fundamental for our clients and users to understand the results of our matching tools.
If you are interested to know more about how JANZZ.technology applies explainable AI solutions, please write now to email@example.com. » Read more about: JANZZ.technology applies explainable AI solutions »