Data Governance is an essential consideration when deploying GPT. It refers to the overall management of the availability, usability, integrity, and security of the data used in an organization. It is essential to ensure that data is collected, stored, used, and disposed of ethically, legally, and effectively.
Companies should focus on the following data governance measures:
- Data classification policies: These policies define how data is classified based on its level of sensitivity, criticality, and value to the organization. This classification helps organizations understand how to manage and protect their data.
- Data retention and disposal policies: These policies specify how long data is kept, when it should be disposed of, and how it should be destroyed to prevent unauthorized access.
- Data access policies: These policies determine who has access to data and under what circumstances. This includes policies for granting and revoking access, and procedures for ensuring that access is granted only to authorized personnel.
- Data privacy policies: These policies outline how data is collected, used, and shared to protect the privacy and confidentiality of individuals. This includes policies for obtaining consent, anonymizing data, and ensuring compliance with relevant regulations such as UAE Data Protection Law, GDPR and CCPA.
To truly leverage the power of AI, companies must take a comprehensive approach to cybersecurity, governance, compliance and data protection. By focusing on these critical areas, companies can ensure that their AI infrastructure is secure, optimized, and fully compliant, while also leveraging the full power of this transformative technology to drive innovation, productivity and growth.