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.
Advanced economies in Europe and North America are finally emerging after a year of COVID-19 lockdowns largely due to mass vaccinations, while populations in Africa and hard-hit South Asia and Latin America grapple with both vaccine access and labor informality. In a year mired by uncertainty, the economic and societal shocks of the pandemic impacted women and men differently—across the world, women were more likely to lose jobs, cut back paid hours worked, and became the default childcare providers in households. » Read more about: Not entirely a “she-cession” but globally women are the key to economic recovery »
By now we all know that when tech companies say that data is in the cloud, it has nothing to do with those white fluffy things in the sky. In fact, “cloud computing” is nothing more than a fancy marketing term designed to give users a magical feeling instead of telling them straightforward that their data is stored on the server in a data center. The use of the term first appeared in 2006 in an industry conference introduced by one of the largest tech companies. » Read more about: When cloud meets COVID: How cloud computing is transforming across sectors – especially in public services »
Back in 2008, when we first started developing our solutions, the work of Diamond, Mortenson and Pissarides provided the scientific basis for our job and skills matching technology. With their Nobel prize winning labor market theory and the DMP model, they provided a first coherent, complete framework to think about labor market dynamics in a structured way. In their theory, labor markets are viewed as markets with search frictions: workers look for suitable jobs and employers look for suitable workers, » Read more about: “No unemployed candidates will be considered at all” – the crux of unemployment. »
In recent years there have been many posts, articles and reports on how AI and automation will shape the future of work. Depending on the author’s perspective or agenda, these pieces go one of two ways: either the new technology will destroy jobs and have devastating effects on the labor market, or it will create a better, brighter future for everyone by destroying only the boring jobs and generating better, much more interesting ones. As always, » Read more about: AI, automation and the future of work – beyond the usual bubbles »
This is part of a series of articles we conduct to analyze government policies and practices on the strategies to build AI workforce. Previously, we have analyzed how Singapore is helping mid-career PMETs to switch to the tech sector and a collaborative effort between government, tech companies and education providers in Saudi Arabia. Our third stop is China.
As the world’s major economies have announced the development of artificial intelligence as a national strategy, » Read more about: Building the AI-ready workforce: China’s Artificial Intelligence Plan pushed by both central and local governments »