
Aparavi Software
Reinventing Data Protection for the AI Era
Pages
16
Time to read
29 mins
Publication
Language
English

Pages
16
Time to read
29 mins
Publication
Language
English
This white paper discusses the challenges and strategies for modern data governance in the context of artificial intelligence and unstructured data. It highlights the lack of visibility organizations have over their unstructured data, with a significant percentage of employees unaware of the value of this data. The paper outlines the regulatory landscape, including the enforcement of GDPR and the introduction of the EU AI Act, which imposes new requirements for data governance. It presents a data governance framework that emphasizes data quality and security, detailing a four-step approach to managing unstructured data effectively. The document also addresses the rising enforcement actions and fines related to GDPR compliance, emphasizing the need for organizations to adopt proactive governance strategies. Furthermore, it discusses the implications of the Digital Omnibus package, which aims to modernize GDPR and facilitate compliance in the age of AI. The paper concludes by underscoring the importance of integrating privacy and data governance into organizational operations.