Data anonymization is of top-priority for insurance companies. Implementing DoAI in the business environment of insurance companies can reduce a large amount of manual work that is usually applied in the process of data anonymization for journals and similar documents. The journals are processed so that the language could be analyzed, thus the existing platform could anonymize the personal data in documents and use the existing or separate graphical user interface.
DoAI solution can be trained to understand patient records. The AI solution may identify personal information or any information that may in some way lead to identification of the patent. The AI solution may differentiate similar information as the name of a person, the name of a diagnosis or the name of a hospital. It is possible to train the AI to understand all parts of patient records.
We have developed a DoAI solution that can be trained to understand and assist with master data. The AI solution can be trained to learn to identify and validate product information and/or customer information or other master data information. The AI solution can retrieve information from multiple sources, categorize and match it to information in the master data system. Find relationships between different information and flag it. Help to simplify the entire master assessment. It can also be used to validate existing information.
One of the biggest challenges in recruitment processes is the massive amount of CVs that needs to be handled, allocating the right staff to execute the process, shifting from personal to personality culture, conducting the right categorization and having the ability to attract millennials. In such scenarios, DoAI can largely ease and simplify the recruiters’ tasks by classifying CVs by structuring data, personalizing information, and understanding the hidden aspects in a large number of CVs.