The IBM artificial intelligence is able to guess if a worker is thinking about quitting his job. The company, which currently receives more than 8,000 résumés a day, has become the first place where members of the Generation Z, or post-millenials, are looking for work. But not only do they have detailed information about who is looking for work, since their technology has allowed them to develop an intelligence capable of detecting, with a 95% accuracy, who is about to leave hers.
As explained by the CEO of IBM, Ginni Rometty At CNBC, the company has improved its Artificial Intelligence technology by focusing on employee retention. "The best time to get in touch with an employee is before leaving," he says.
IBM HR has patented a "Wear prediction program"That he developed with Watson to predict the risk of employee flight and to prescribe actions to avoid it. Rometty does not give details of how this AI works to achieve such a level of success, but they assure that the predictions are now at 95 percent correct. According to the CEO of IBM, success is due to the analysis of many data.
"It took time to convince the management of the company that it was accurate," Rometty adds, assuring that the IA has so far saved to IBM almost 300 million dollars in retention costs.
The AI retention tool is part of a set of IBM products that are designed to change the traditional approach to human resource management. According to the CEO of the company, the classic model of human resources requires a review and in it artificial intelligence can help improve the work.
Since IBM implemented this technology, the technology giant has reduced the size of its human resources department by 30 percent. In return, the remaining positions now have higher remuneration and can perform higher value jobs.
One of the tasks to be carried out by artificial intelligence in the future will be to keep employees on a clear professional trajectory and identify their abilities, since it is apparently in this area that managers are not always effective.
According to Rometty, being transparent with employees about their career is a problem in which many companies still fail. It refers to being honest about the skills that are needed, especially when workers do not own them. "I hope that the IA will change 100 percent of the jobs in the next five to 10 years," adds the CEO of IBM.
'I hope the IA will change 100 percent of jobs in the next five to 10 years,' says Rometty.
By better understanding data patterns and adjacent skills, IBM AI can focus on an individual's strengths. In turn, this may allow a manager to direct an employee toward future opportunities that they may not have seen using traditional methods. "We found that managers' surveys were not accurate," says Rometty, referring to formal skills assessments. "Managers are subjective in the ratings. We can infer and be more precise from the data ".
IBM technology can see the tasks that employees are completing, the educational courses they have taken and any rankings they have obtained. Through these data points, the inference of artificial intelligence skills and those responsible for Human Resources can obtain a better understanding of an employee's skill set than what they would obtain when evaluating the comments of the surveys.