Architectural Drift: Governing Autonomous AI Models in Power BI Fabric

Описание: Stop AI Drift: Power BI Governance Essentials 🚨

You’ll learn how to safeguard your Power BI and Fabric models from AI-driven architectural drift, ensuring consistent, reliable business intelligence outcomes — directly inside the Microsoft cloud — in this episode.

Who this episode is for:
• You want practical strategies you can apply instantly
• You want real execution — not theory
• You want to unlock Microsoft 365, Power Platform, and Azure for real business outcomes

Scenario:
AI agents can unintentionally shift the meaning of your data models, leading to misaligned KPIs and decisions across teams over time.

Step-by-step – what you will learn:
• What architectural drift is and why it undermines your BI models
• How to configure governance controls in Power BI and Fabric
• Where drift starts in measures, relationships, transformations, and reports
• How to use governance gates to enforce semantic consistency
• How Fabric tools like PBIR, PBIP, and MCP can amplify control

Tools + tech included:
• Microsoft 365, Power BI, and Azure
• PBIR (Power BI Report) and PBIP (Power BI Project) automation tools
• Fabric features like shared lakehouses and semantic models
• AI tools for enhanced productivity

Practical payoff:
• Eliminate silent errors and competing truths in BI reporting
• Improve clarity across KPIs and metrics
• Faster, reliable decision-making for your organization

Open topical anchors:
BI consistency • automation strategy • governance controls • Microsoft ecosystem advantage

Example business cases listeners can apply immediately:
• Prevent KPI drift and ensure accurate financial reporting
• Streamline cross-team collaboration on shared data models
• Use AI to automate repetitive tasks without risking semantic integrity

Outcome statement:
By the end of this episode — you’ll know how to implement governance essentials to protect your Power BI models from AI drift and ensure unified, trustworthy analytics at scale.

Call-to-action:
Start building your skills today and transform your workflows now.

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#powerbidrift #datagovernance #aigovernance #semanticmodel #architecturaldriftmanagement

CHAPTERS:
00:00 - Intro
00:32 - Drift in Power BI and Fabric
04:04 - Foundational Misunderstanding: Business Agents
07:40 - Measure Generation: Semantic Fork Bomb
10:47 - Silent Dependency Changes
11:59 - Relationship Drift in Data Models
15:55 - Drift in the Presentation Layer
20:10 - MCP and Tooling Overview
21:40 - Iterative State Mutation Explained
23:55 - Auditability Collapse Issues
27:37 - Permission Drift Challenges
30:01 - Context Leakage in Data Governance
31:30 - Governance Model Essentials
32:10 - Gate 1: Intent Mapping Process
32:42 - Gate 2: Change Containment Strategy
33:10 - Gate 3: Review and Verification Steps
33:40 - Gate 4: Release and Attestation Process
35:39 - Intent Mapping: Agent Limitations
39:40 - Gate 2: Change Containment Review
43:40 - Gate 3: Verification Process
49:23 - Gate 4: Release and Attestation Overview
51:55 - Where Agents Fit in Business
55:39 - Outro

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