Transforming Data Management in the AI Era
This white paper by Jeffrey W. Brown, Cybersecurity Advisory at Microsoft, Ravi Thatavarthy, Chief Information Security Officer at Rite Aid, and Mike Towers, Chief Security & Trust Officer at Veza, explores AI's transformative role in enterprise data management, addressing the challenges of data volume and security.
Key points include:
- The Problem: Organizations struggle to manage vast data volumes while ensuring security & integrity.
- Privacy and Compliance: AI automates compliance processes, reducing human error and strengthening security.
- AI's Impact: AI offers advanced capabilities to handle data complexity, enhancing efficiency and security.
- Strategic Roles: CDOs and CISOs are crucial in implementing AI-driven data management strategies.
- Future Outlook: AI will continue to evolve, reshaping data management practices.
A holistic approach to data management, leveraging AI to meet current needs and prepare for future developments is recommended.
This white paper by Jeffrey W. Brown, Cybersecurity Advisory at Microsoft, Ravi Thatavarthy, Chief Information Security Officer at Rite Aid, and Mike Towers, Chief Security & Trust Officer at Veza, explores AI's transformative role in enterprise data management, addressing the challenges of data volume and security.
Key points include:
- The Problem: Organizations struggle to manage vast data volumes while ensuring security & integrity.
- Privacy and Compliance: AI automates compliance processes, reducing human error and strengthening security.
- AI's Impact: AI offers advanced capabilities to handle data complexity, enhancing efficiency and security.
- Strategic Roles: CDOs and CISOs are crucial in implementing AI-driven data management strategies.
- Future Outlook: AI will continue to evolve, reshaping data management practices.
A holistic approach to data management, leveraging AI to meet current needs and prepare for future developments is recommended.
