Ravi Shankar
Sr. Vice President and CMO
Terry Dorsey
Sr. Data Architect and Evangelist
Christopher Gardner
Data Analyst and Author
As enterprises race to deploy Agentic AI, they hit a critical roadblock: autonomous agents are only as reliable as the data they access. Scaling AI without a unified foundation leads to infrastructure chaos, including data replication lag, skyrocketing compute costs, and severe governance risks. When agents operate on fragmented data, they hallucinate and fail in production. To scale safely, organizations must shift from complex physical data movement to a streamlined logical approach. Join Christopher Gardner, enterprise data architect and author of O’Reilly’s "Rise of the Logical Data Management," as he shares the definitive blueprint for building a trusted, resilient data foundation.
Key Takeaways:
- Eliminate Bottlenecks: Learn to resolve the hidden data replication delays and spiraling query costs that stall autonomous AI initiatives.
- Establish Shared Semantics: Discover how a logical layer provides AI agents with consistent metrics and real-time data access without expensive pipelines.
- Govern Autonomously: Embed robust security, data lineage, and compliance guardrails directly into your architecture so agents operate safely within enterprise boundaries.
