Delivering Securely on Data and AI Strategy
MIT Technology Review Insights, in partnership with Databricks
Curious how top security leaders are safely accelerating the adoption of AI use cases? Discover how the top 12% of “data high achievers” balance strong protection with open access — unlocking AI’s full business value securely and with speed.
Here’s what you’ll learn:
Curious how top security leaders are safely accelerating the adoption of AI use cases? Discover how the top 12% of “data high achievers” balance strong protection with open access — unlocking AI’s full business value securely and with speed.
Here’s what you’ll learn:
- Why top-performing organizations are focusing on data lineage, authentication and security complexity
- Ways to turn generative AI into a security asset — including how 48% already use it for threat detection
- What it takes to prepare for new agentic AI with robust governance and access controls
- Strategies for building enterprise-wide data intelligence that shifts your cybersecurity posture from reactive to proactive
Szolgáltató: Databricks US | Méret: 600 KB | Nyelv: Angol