Most of these companies provided revolutionary solutions. The majority of companies operate in B2B sector helping companies that struggle with getting loans.
These companies collaborate with banks and financial institutions in order to help them to develop algorithms for more advanced lending for business and private entities that cannot overcome credit score parameters set by banks in the meantime being potentially conscientious loan debtors.
An old approach to calculation of the credit score usually looks like a system of equations with variables representing income, expenditures, passives and actives.
New approach that has been presented during the conference is about conducting analysis of clients' behavioural and social data. All this data is interpreted in a proper way so that banks can use more advanced formulas for credit report calculation.
Thanks to these efforts, those who weren’t able to get loans because of the old approach shortcomings finally can receive loans on good terms. In the meantime banks can expand their client base and loan portfolio.
On the conference speakers explained the way they use artificial intelligence and machine learning to develop more sophisticated credit score calculation algorithms using data that haven’t been taken in consideration by banks earlier. Such approach allows to study the profiles of all clients for the same price.
For example, WeLab states that they are developing solution that provides the equal expenditures when you analyze lenders that take either $ 5 or $ 5000. This is how they do it: