Privacy and Compliance in the Age of GenAI: Data Governance, Classification, and Inventory
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 16m | 147 MB
Instructor: Nishant Bhajaria
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 16m | 147 MB
Instructor: Nishant Bhajaria
In this course, Nishant Bhajaria—a privacy and security leader and a digital product architect—shows you how to build a data governance strategy to help accelerate innovations in genAI. Find out how to classify data based on collection methodology, use cases, business value and privacy. Then learn how to define tags to affix to the data, so that you can map data protection controls on an ongoing basis to your data. Plus, explore hands-on opportunities to practice data classification and data inventory, to equip yourself with job-ready skills. This course helps you build a thorough understanding of how to catalog and inventory your data.
Learning objectives
- Build a front-loaded data governance strategy so that data can be protected early and efficiently.
- Partner across the organization to classify data based on use and risk.
- Define dynamic and descriptive tags that can attach to the data.
- Map data protection controls to data.
- Apply data governance to help accelerate GenAI innovation.