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If we ask a computer to translate the English sentence “the box is in the pen” into other languages, it will most likely interpret the word “pen” as the object we use to write with, this being the more frequently used meaning. But then the sentence will be nonsensical because, as we know, a larger object cannot be inside a smaller one.
Language processing or natural language processing is a much bigger challenge in AI than, » Read more about: JANZZ.technology – providing semantic technologies powered by ontology »
Digitalization, automation and AI pose a great threat to today’s job market that requires constantly changing skills. However, some of the skills are not missing due to the evolution of technology, but rather due to a loss of attractiveness. This is especially the case for positions with an unusually high number of vacancies or such that remain vacant for a long time.
According to the Swiss Skills Shortage Index, “a skills shortage exists if there are more vacancies than job seekers in an occupation.” Last year, » Read more about: Is reskilling and upskilling the real cure for today’s skills shortage? »
Ontologies have been around in artificial intelligence (AI) research for the last 40 years. Just as trends come and go, ontologies too have had their ups and downs. Introduced in the 80s, ontologies became popular in the mid-90s. After machine learning (ML) came on the scene in 2000, the widespread opinion was that in the future every task performed with a computer (by means of AI and ML) could be solved with a smart algorithm. A lot of companies invested heavily in these algorithms hoping to have the next breakthrough in AI. » Read more about: JANZZ ontology – empowering your data and realizing smart applications »
Artificial intelligence (AI) is unquestionably a powerful tool. Its economic value is increasing tremendously and transforming numerous industries such as manufacturing, fintech, healthcare and automobile. Workers in finance and marketing have much success using AI technologies, whereas HR practitioners find it rather hard to integrate these into their daily practices.
Prasanna Tambe, Peter Cappelli and Valery Yakubovich state in their research: “there are systemic and structural differences for HR that do make it harder, » Read more about: The potential of AI in human resource management »
The segregation of people in the workplace according to their biological sex is partly due to different preferences and aptitude for specific occupations. Traditionally, jobs with the highest concentration of women are to be found in teaching, nursing and other care-related service work. The majority of male workers, conversely, holds blue-collar jobs, for instance in construction, equipment operation or repairing.
Furthermore, since occupation fields dominated by female workers have a lower compensation in comparison, » Read more about: Sex segregation in the workplace »