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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.
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JULY 8TH, 2026

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60 MINUTES

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LIVE WEBINAR

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MICROSOFT FABRIC

WEBINAR DETAILS

Built for the People Running Fabric, Not Just Auditing It

One hour, live demos, and no theory-only slides. Walk away knowing why passive governance breaks at Fabric scale, what the active alternative looks like in production, and the specific patterns you can implement in your own environment the following week.

10:30AM - 11:30AM

Register for our Morning Session


4:30PM - 5:30PM

Register for our Afternoon Session

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

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Rich McCraw

VP of Technology

Rich leads Improving's active governance and knowledge management practice. This session is built directly from that production work.

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.

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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.

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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.