IBM artificial intelligence can predict with 95% accuracy which workers are about to quit their jobs
It’s a two-fer from IBM this week. Both related to their HR practices.
By Eric Rosenbaum – IBM receives more than 8,000 resumes a day, making it No. 1 on job-search site Glassdoor for Gen Z applicants, said IBM CEO Ginni Rometty at CNBC’s @ Work Talent + HR Summit on Tuesday in New York City.
But that’s not the only way the technology giant, which employs roughly 350,000 workers, knows who in the workforce is currently searching for a new position. IBM artificial intelligence technology is now 95 percent accurate in predicting workers who are planning to leave their jobs, said Rometty.
During Rometty’s seven-year tenure as CEO, IBM has been improving its AI work devoted to the retention of its employees.
“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. Read more:
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