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DateDate: 14-09-2019, 06:16

Scientists from the United States have developed an algorithm based on artificial intelligence, which calculates when an employee is about to quit. The program will help company executives retain an old employee or start looking for a new employee
Professors Brooks Holt and David Allen used Big Data and machine learning algorithms to develop a technology that defines indicators that talk about employee plans to quit.
The first indicator is a shocking frame rate. Usually this is a change of management or a major acquisition that affected the value of the shares, received media coverage or attracted the attention of lawyers.
The second indicator is the employee’s relationship with the organization in which he works. Researchers relied on open data, such as the number of previous jobs, tenure at the last company, skills, education, gender, and geography. According to a three-month study, it turned out that about 64% of workers want to change jobs, CNBC reports.
Replacing a qualified employee can cost a company significant financial losses, given the time spent, HR work, and newcomer training, Holt said. Some companies that cannot find a candidate for an open position lose about $ 1 million annually.
Scientists are confident that the technology will help experienced managers and employers learn more about what their employees really value in their work, as well as keep them and create truly comfortable conditions, and not just give empty promises.





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