IBM's AI Knows When People Will Quit Their Job With 95% Accuracy
https://www.zerohedge.com/news/2019-...ob-95-accuracy
Quote:
IBM can predict when employees are ready to quit with 95 percent accuracy, according to CEO Ginni Rometty.
Speaking at a Work Talent and Human Resources Summit in New York, Rometty described how the company's "predictive attrition" software has reportedly saved the company $300 million by identifying which of its roughly 350,000 workers are on the cusp of quitting, reports CNBC.
The way the system works is a trade secret - however a 2016 blog post described how IBM used their Watson Analytics smart data program for employee retention.
"The best time to get to an employee is before they go," she said.
IBM HR has a patent for its "predictive attrition program" which was developed with Watson to predict employee flight risk and prescribe actions for managers to engage employees. Rometty would not explain "the secret sauce" that allowed the AI to work so effectively in identifying workers about to jump (officially, IBM said the predictions are now in the 95 percent accuracy "range"). Rometty would only say that its success comes through analyzing many data points. -CNBC
"It took time to convince company management it was accurate," Rometty added.
According to the 2016 post on job attrition, factors include an employee's age, marital status, stock options, how many years they've been with the company, and the how far they've been promoted.
https://www.zerohedge.com/s3/files/i...?itok=cV0mQyM5
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Full article at link.
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This also explains one outcome as to why Employers are nearly insistent on all the Invasions of Privacy outside of work. Fire those who are gonna quit, to save a few bucks, and put the poor out even more. Whats next? Oh, youre gonna die, but, you have a Life Insurance Policy? Well lets fire you first, kick you off your policy, then charge everyone else more, and make sure you arent given a fucking dime. Thats good business isnt it? Those are the Role Models we should aspire to become in our lives?
