Session
Transforming Data Governance for Multimodal Data at Amgen With Databricks
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Enterprise Technology, Health and Life Sciences |
Technologies | Apache Spark, AI/BI, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
Amgen is advancing its Enterprise Data Fabric to securely manage sensitive multimodal data, such as imaging and research data, across formats.Databricks is already the de facto standard for governance on structured data, and Amgen seeks to extend it for unstructured multi modal data too. This approach will also allow Amgen to standardize its GenAI projects on Databricks.
Key priorities include:
- Centralized data access: establishing a unified, secure access control system
- Enhanced traceability: implementing detailed processes for transparency and accountability
- Consistent access standards: ensuring uniform data access privilege experience
- User support: providing flexible access for diverse stakeholders
- Comprehensive auditing: enabling thorough permission audits and data usage tracking
Learn strategies for implementing a comprehensive multimodal data governance framework using Databricks, as we share our experience on standardizing data governance for GenAI use cases.
Session Speakers
Jinesh Kunjumon
/Sr Data Engineer
AMGEN
Jaison Dominic
/Senior Manager Data & Analytics
Amgen