Implementing a Framework for Data Security and Policy at a Large Public Sector Agency
- Industry and Business Use Cases
- Public Sector
- Moscone South | Upper Mezzanine | 159
- 35 min
Data security and data quality are significant challenges facing federal agencies as they apply AI, ML, and data analytics to achieve their mission. These large agencies all have multiple data-driven initiatives being implemented or considered across functional domains. They range from personnel operations, acquisition efforts, and agency-specific missions for both national security to humanitarian aid. To scale these efforts and ensure successful outcomes, they need to employ a framework that addresses people, processes, and technology. In this session, the presenters discuss the core elements of a successful data security and quality framework, including best practices, potential pitfalls, and recommendations based on successes with a large federal agency.