IBM artificial intelligence can predict with 95% accuracy if you plan to quit your job

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IBM artificial intelligence can predict with 95% accuracy if you plan to quit your job
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IBM artificial intelligence can predict with 95% accuracy if you are planning to quit your job — even before you know you want to leave

IBM receives more than 8,000 resumes a day, making it No. 1 on job-search site Glassdoor for Gen Z applicants, claimed IBM CEO Ginni Rometty at CNBC's @ Work Talent + HR Summit on Tuesday in New York City.

"It took time to convince company management it was accurate," Rometty said, but the AI has so far saved IBM nearly $300 million in retention costs, she claimed. Rometty said being transparent with individual employees about their career path is an issue in which many companies still fail. And it is going to become more critical."I expect AI will change 100 percent of jobs in the next five to 10 years," the IBM CEO said.

By better understanding data patterns, AI can zero in on an individual's skills. In turn, this can enable a manager to direct an employee to future opportunities they may not have seen using traditional methods."We found manager surveys were not accurate," Rometty said."Managers are subjective in ratings. We can infer and be more accurate from data."

AI is getting better at providing feedback to employees. IBM's MYCA AI virtual assistant uses Watson to help employees identify where they need to increase their skills. Its companion, Blue Match technology, serves up job openings to employees based on their AI-inferred skills data. Rometty said some of the 27 percent of IBM workers who received a new job or promotion in 2018 were assisted by Blue Match.

Traditional human resource departments, where Rometty said companies typically"underinvest," has been divided between a self-service system, where employees are forced to be their own career managers, and a defensive system to deal with poor performers.

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