Analysis: The new way your boss can tell if you’re about to quit your job
IBM chief executive Ginni Rometty says the company’s artificial intelligence program has a 95 percent accuracy of predicting those who are considering an exit from the company. By Jena McGregor Jena McGregor Reporter covering leadership issues in the headlines Email Bio Follow April 11 IBM wants to keep its employees from quitting, and it’s using artificial intelligence to do it.
From recruiting to hiring to performance evaluations, HR executives have been investing in tech-driven data analysis to make better people decisions. “Compare that to three years ago, when there were maybe 10 to 15 percent that had a named and known head of talent analytics," said Kropp, whose firm counts IBM as a client."It’s the fastest-growing job in HR.”Analysts say retention, in particular, is a critical area for the application of artificial intelligence. For one, there’s a clear event that happens — someone quits and leaves the company, or threatens to — that helps data scientists seek patterns for intervening.
IBM’s use of AI in HR, which began in 2014, comes at a time when the 108-year-old company has been trying to shift its massive 350,000-person workforce to the most current tech skills and includes 18 different AI deployments across the department.
While the program urges managers to intervene for employees who have hard-to-find skills — offering them raises, public recognition or promotions — potential quitters that the system identifies as having less-valuable skills or who are low performers don’t necessarily get the same response. He recently wrote about how some firms have studied email “metadata” and communication patterns, finding that people who quit were less engaged in their email for up to six months before leaving.
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