Challenges and opportunities with using cognitive computing for mapping personal data in order to help comply with the GDPR

Sammanfattning: As the world is becoming more digital, the use of data is rapidly increasing. To protect all EU citizens from privacy and data breaches, the regulations will become stricter. The General Data Protection Regulation (GDPR) will become effective on the 25th of May 2018. This will mean big structural changes for organizations, but it will also mean tougher requirements for gathering and maintaining personal data. The GDPR changes how personal data is defined, meaning that the same laws will apply to all personal data. Furthermore, the GDPR requires organizations to map and identify personal data in both structured and unstructured data sources before the it becomes effective. In this thesis, a case study of a project has been conducted, in which the challenges and opportunities with using cognitive computing for mapping personal data in order to help comply with the GDPR, have been identified. The findings present several challenges and opportunities with using cognitive computing in this specific context. Identified challenges were amongst others the need for manual work and human contributions. Identified opportunities were amongst others that it can understand structured and unstructured data and be learned to identify personal data.