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.
Bridging the Skills Gap in an AI-Driven World
/in Knowledge Base /by JANZZ.technologyIt’s not jobs we’re running out of; it’s alignment. Too often, the skills people bring to the market don’t match what employers demand and vice versa. But the debate about “AI replacing humans” is misleading.
Microsoft Study Reveals Who’s Really Using AI at Work—And Who Isn’t
/in Knowledge Base /by JANZZ.technologyA new Microsoft research paper has just dropped, and it’s one of the more ambitious attempts to map out how generative AI is actually being used in the workplace.
JANZZ Named Sample Vendor in Gartner’s AI in Human Resources Hype Cycle
/in Knowledge Base, News /by JANZZ.technologyJANZZ Named Sample Vendor in Gartner’s AI in Human Resources Hype Cycle
Leading research firm recognizes JANZZ’s AI-driven recruitment solutions for the 5th consecutive year
June 17, 2025—JANZZ, a global leader in AI-powered human resources technology, has been listed as a trusted Sample Vendor in Gartner’s prestigious Hype Cycle for AI in Human Resources, 2025. This recognition underscores the company’s continued innovation and market leadership in artificial intelligence applications for talent acquisition and workforce development. » Read more about: JANZZ Named Sample Vendor in Gartner’s AI in Human Resources Hype Cycle »
Are you kidding me? JANZZsme!, the only real alternative to the daily nightmare of AI-powered job and skills matching
/in Knowledge Base, News /by JANZZ.technologyIn this new episode of our Uncovers Series, we clarify what matching really means and the key factors that ensure a quality match in HR.
The challenge of matching individuals with jobs has persisted for decades, and it remains a colossal issue. Despite numerous attempts to find a solution, nearly all existing options fail miserably—not just underperforming, but outright ineffective. The results are often absurd or laughably inadequate, even on global platforms like LinkedIn, » Read more about: Are you kidding me? JANZZsme!, the only real alternative to the daily nightmare of AI-powered job and skills matching »
The Pitfalls of Incorrect Data in Taxonomies, LMIs, Labor Market Forecasts, and HR Analyses
/in Knowledge Base /by JANZZ.technologyIn this new episode of our Uncovers Series, we delve into the critical issue of incorrect data in taxonomies, labor market information (LMI), labor market forecasts and predictions, and HR analyses. We explore the challenges posed by the use of unsupervised, unverified data from various sources, which is then applied without critical examination to processes such as matching, gap analysis, labor market forecasts, and demand/supply predictions.
The Quality of Skills and Job Data
In this post, » Read more about: The Pitfalls of Incorrect Data in Taxonomies, LMIs, Labor Market Forecasts, and HR Analyses »