First than all, I am not sure if this questions is more about Machine Learning, or if its Artificial Intelligence, if not, just let me know I will delete it.
At my company we need to create a solution for banks, where a client comes in and they want to to open a bank account.
They need to know if that person is a politician or political exposed person, maybe they work in the european comission, or they are family from a pep for example.
The business users has lots of data sources where to get these people, for example: http://www.europarl.europa.eu/meps/en/full-list/all
They want to train a Model (Machine Learning), where the end user can enter the name: Bill Clinton for example, and then the system has to return the percentage of a person being political or not.
Obviosly some persons are 100% politicial and the percentage will be 100%.
But if they enter a name that is not in any of their data sources, how would I train a model to decide if its pep or not?