AI Governance in the Trenches: A No-Hype Guide to In-House Implementation

Move beyond the "what" and into the practical "how." This session bypasses the basic definitions and high-level theories to focus on the architectural and cultural hurdles of deploying AI within established organizations — and how to overcome them. Our experts share the unvarnished truth about scaling internal tools, managing data integrity, and moving from a pilot program to building AI governance as a permanent fixture in the corporate tech stack. 

What you will learn: 

• Relationship building with AI + ML teams + breaking the “department of no” stigma: Learn how to replace friction-heavy manual reviews with a cross-functional “cultural blueprint” that aligns legal, engineering, and security goals to accelerate — rather than stall — AI deployment.

• Guardrail automation: Move from static forms and interviews to technical reality by discovering how to embed governance and data integrity controls directly into your software architecture and data pipelines.

• Infrastructure automation for scale: Gain a tactical roadmap for moving past messy “pilot” experiments to building a permanent, scalable AI governance framework that evolves with your organization and runs alongside your teams instead of falling behind.

Sponsored by: Relyance AI

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