Sberbank is the largest bank in Russia, Central and Eastern Europe, and one of the leading financial institutions worldwide. Sberbank is the most expensive Russian brand and the strongest banking brand around the globe, according to Brand Finance.
That vast majority of companies use AI is a common knowledge. How new technologies are applied in Sberbank? In which way the bank may apply Artificial intelligence ? Sberbank launched the robot that predicts the dismissal of employees. This strategy is used at the stage of hiring an employee. AI gives points to each candidate. In such a way bank fights with staff turnover.
It looks like automatic estimation counting of consultancy candidates. Here is important to admit, that this technology is used only towards consultancy candidates. The main idea is the prediction how soon the candidate will be fired. For estimation of candidates AI uses some criteria to assign scoring grade. One from this criteria is the previous job experience. If person was connected with a stand-up job, like waiter, the prospect of being dismissed is low. If person had an experience of working as a manicure specialist, for him or her will be more difficult to adapt to such consultant environment and it means that he or she will live this job very soon. Of course there are much more criteria, but the sense is here. The future of the candidate can be predicted by previous years. AI uses data that candidate showed to the employer and moreover, data from other sources. However, no one knows that particular sources still, there is no free information regarding this point.
Additionally, Sberbank already cut 70% of middle-managers, that were connected with not important decisions. Here is one point, that all these managers stayed at the company, they just went through the educational course. Now there are 291700 employees in Sberbank.
This bank is way ahead of others, firstly because they try to eliminate staff turnover by using new technologies, secondly, that they provide amazing opportunities for employees to reskill themselves and be relevant in the modern world.
Sources:
https://www.forbes.ru/newsroom/tehnologii/385679-sberbank-nauchil-iskusstvennyy-intellekt-predskazyvat-uvolneniya?photo=11
https://vc.ru/sberbank/46022-zachem-sberbanku-roboty
https://www.iguides.ru/main/other/sberbank_predstavil_robota_avatara_dlya_raboty_s_klientami/
https://www.rbc.ru/finances/18/10/2019/5da8a01c9a79473da5aff893
https://www.vedomosti.ru/finance/news/2019/10/18/814066-iskusstvennii-intellekt
Since the computers have been invented, people used them to try to forecast different things, including this case. Sure, they mught not be 100% accurate, yet, they are definitely more precise than some HR people :p
This is another interesting article on how to apply AI and solve the problem of outgoing and incoming employees. But can AI predict if a person will decide to quit their job when we consider their private lives? It is hard to say what will happen and what will affect their further decisions regarding their careers. I’m afraid AI won’t do it either. At least not today. One person can have several positions in the CV in many companies, and then it turns out that this bank is the place where they want to stay for longer. At this point, considering someone’s future in the company based on the past experience may unnecessarily disqualify someone.
These estimations are to help in deciding whether to hire a certain employee at all or rather at which moment talk to him about his further development?