AI adoption has accelerated faster than governance maturity. While most enterprises are experimenting with GenAI and autonomous systems, many are discovering that existing data, analytics, and BI governance models were never designed to support AI operating at machine speed.
In this TDWI-hosted webinar, Cal Al-Dhubaib (TDWI) and Dave Mariani (Founder & CTO, AtScale) examine why AI initiatives stall as they move from pilot to production, and what organizations must put in place to govern AI without slowing innovation.
Drawing on real enterprise examples, the discussion explores why inconsistent definitions, unmanaged context, and fragmented governance quickly erode trust when AI systems begin answering open-ended business questions and influencing decisions.
Watch the on-demand session to learn how organizations are adapting governance models for the AI era.
What You’ll Learn
- Why traditional BI-era governance breaks down when applied to GenAI and agentic systems
- How inconsistent business definitions and semantic drift undermine AI accuracy and trust
- Why governance must move from static dashboards to real-time, query-time controls
- How semantic layers provide deterministic business logic for probabilistic AI systems
- Where guardrails, observability, and access controls require shared semantic context to work
- What organizational models (COE, hub-and-spoke) are emerging to scale AI governance effectively
Why Watch
As enterprises move from human-driven analytics to AI-driven decision support, the cost of ambiguity increases dramatically. Without shared semantics and governance embedded into the data foundation, AI systems confidently produce answers that are inconsistent, unverifiable, or wrong.
This webinar focuses on what actually works in production. It offers a practical, experience-driven perspective on how organizations can govern AI systems responsibly, without reverting to centralized bottlenecks or fragile manual processes.
Whether you’re responsible for analytics governance, AI risk management, data architecture, or enterprise AI strategy, this session provides a clear framework for preparing your data foundation for GenAI and agentic AI.
Speakers
Cal Al-Dhubaib
TDWI Faculty Member; Head of AI & Data Science, Further
Dave Mariani
Founder & Chief Technology Officer, AtScale
