Home2019June 2019 - Catenon World

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According to the Global Information Security Workforce study carried out by the Centre for Cybersecurity and Education, 1.8 million cybersecurity jobs in North America will not be filled by 2022 due to a lack of qualified staff. This means, among other things, that many of the security threats to our data will not be able to be addressed. And bearing in mind that in 2020 the amount of data will double every 12 hours, we...

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A recruiter’s life can be difficult at times. You oversee several processes at once, looking for the perfect candidate or the pink unicorn. You think you have everything under control, you are happy when the candidate accepts the offer… and then suddenly, a week or two later you get a phone call from your candidate rejecting the offer. “What could have gone wrong?” you wonder. Well, a lot of things actually. At present, the speed...

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Spurred on by the expected growth of the Brazilian economy, Catenon announces its agreement with Optme RH to increase its activity in the emerging country.   Experience in the market In order to stay global and enter new markets, the new partnership model, led by Pablo Sánchez, is based on collaboration agreements with locally consolidated companies that provide us with their expertise in the local market and receive our global operational capacity thanks to our...

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A grey Monday morning not many years ago, a worker got into a lift ready to face a new week, with no changes or upheavals. He came out of the lift and turned around, ready to sit in his cubicle, at his usual desk with photos of his family glued to the wall. To his surprise, there was nothing there. There were no walls, there were no computers, and the tables were scattered and empty....

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The use of recruiting algorithms to search for and identify the best candidate from billions of data is not a new concept. However, few companies in need of recruitment and retention have been encouraged to introduce them into their processes, at least in their early stages. Maybe it is because the fairness they promised may not be so fair.   “The automation bias” Between 2014 and 2017 Amazon developed a system of algorithms to analyse...