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.
Having touched on the subject of skills a couple of days ago in the post Knowledge ≠ Skills ≠ Experience – or why a consistent distinction between these terms is more important than ever, I would like to take a closer look at the topic today.
Job matching is a process that has gained popularity in recent years as a tool to, for example, match individuals with job vacancies based on their skills. » Read more about: A rose ≠ is a rose ≠ is a rose – or why matching with skills without a precise level is as good as useless. »
Knowledge, skills and experience are three crucial components that make up an individual’s competence in any field. Unfortunately, these terms are used interchangeably these days, but they have very different meanings.
Knowledge refers to an intellectual understanding of facts, concepts and theories related to a particular field. It is acquired through education, reading books, attending lectures and participating in training programmes. Knowledge is essential because it provides the basis for developing skills. It enables individuals to understand the why behind a particular practice or procedure. » Read more about: Knowledge ≠ Skills ≠ Experience – or why a consistent distinction between these terms is more important than ever. »
Many countries worldwide, especially in emerging labor markets in Southeast Asia, Africa, and Latin America, are facing growing labor market challenges. More and more overqualified workers with academic backgrounds struggle to find work in their field. On the other hand, there is a shortage of skilled workers with technical or vocational backgrounds, leaving many jobs unfilled. Both are costly symptoms of an ever-increasing skills mismatch worldwide.
This trend is a result of several factors. » Read more about: From guessing to knowing with JANZZilms!: Academic overqualification is one of the main drivers of the intensifying global worker shortage. »
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. » Read more about: AI, automation, and the future of work – beyond the usual bubbles »
This is the third in a series of posts on machine learning in HR tech. If you haven’t already, we recommend you read the other two posts first: part 1 and part 2.
In the last two posts, we discussed the need for domain experts in building a knowledge graph for a job matching engine as well as the problem we want to solve on a conceptual level. In this post, » Read more about: The One-Eyed leading the Blind – Part 3: Farewell, Mythical Machine. »