WEBINAR · JULY 8TH · FREE TO ATTEND

From Passive to Active Governance in Modern Big Data Environments

Most data governance programs are built for audits, not modern data speed. This session makes the case for active governance: policy and quality controls embedded in your data products, with LLMs auditing continuously instead of quarterly.

JULY 8TH, 2026

60 MINUTES

LIVE WEBINAR

MICROSOFT FABRIC

SESSION 1 · MIDDAY

For Data Platform Owners and Architects

Production patterns, agent designs, and Fabric-native governance implementation, built for the people designing and operating the platform

SESSION 2 · LATE AFTERNOON

For Governance, Risk, and Compliance Leaders

Maturity model framing, human-in-the-loop frameworks, and how to sequence the work so AI initiatives accelerate instead of stall.

WHAT YOU WILL LEARN

Active Governance, Built for the Speed of Modern Data

Passive governance cannot keep up with OneLake shortcuts, Power BI semantic models, and AI agents querying production data on demand. This session shows you what the alternative looks like in production.

Why passive governance breaks at Microsoft Fabric scale and what active governance replaces it with
The Fabric-native pattern: Purview policies, OneLake lineage, sensitivity labels, and workspace-level controls
How LLM-powered audit agents continuously classify sensitive fields, validate lineage, flag drift, and explain violations in plain language
Production patterns and human-in-the-loop checkpoints drawn from active governance work at a Fortune 50 enterprise
Actionable next steps you can take back to your own Fabric environment on Monday morning

SPEAKER

Led by the Practitioner Who Built It

Rich McCraw

VP of Technology

Rich is the direct owner of Improving's active governance and knowledge management engagement, the production work this session teaches.

AI ADOPTION MATURITY MODEL

Where Does Your Organization Stand on the AI Maturity Curve?

Improving's Intelligence Operating System (IOS) defines 8 stages of AI adoption, from Zero AI to full Agentic Operations. During this session, Rich will use the IOS framework to show where active governance fits in your AI journey and what you need in place before the next stage is possible.

WAVE 1

Tools

Stages 1-2

From zero AI usage to off-the-shelf AI assistance. Humans approve every action, building the foundational trust required to advance.

WAVE 2

Process

Stages 3-4

AI moves beyond individual tasks to full workflows and governance infrastructure becomes essential. This is where most organizations stall.

WAVE 3

Agentic Operations

Stages 5-8

Agents run autonomously, coordinate in parallel, and span multiple products. This is where organizations stop managing AI and start operating with it.

One Hour That Could Change How Your Team Thinks About Data Governance

Reserve your spot for July 8. Both sessions are free, demo-driven, and built around production patterns you can act on immediately.