(00:00:00) SharePoint Governance and AI Alignment
(00:00:38) SharePoint Best Practices
(00:06:13) Power Apps Development Principles
(00:13:00) Power Automate Best Practices
(00:19:26) AI Builder and Document Processing
(00:23:06) Copilot Studio and Chatbots
(00:26:32) Governance Non-Negotiables
(00:30:02) Conclusion and Call to Action
Is SharePoint really broken in the age of artificial intelligence? Or is the real problem missing AI governance and data strategy? In this episode, I explain why traditional SharePoint architectures fail in modern AI-driven environments—and how a structured AI governance framework can fix data chaos, security risks, and compliance issues before they destroy trust in your systems. You’ll learn:
- Why SharePoint breaks under AI workloads
- How poor data governance blocks successful AI projects
- What AI governance really means in practice
- How organizations can regain control over:
- Data quality
- Security
- Compliance
- Access management
- And how to prepare SharePoint for machine learning, Copilot, and enterprise AI
🔍 Why This Matters Without clean, well-governed data, AI systems become unreliable, insecure, and legally risky. Many organizations attempt to scale AI on top of broken SharePoint structures—creating massive hidden risks. This episode shows exactly where things go wrong and how to fix them properly. 🛠 Practical Use Cases Covered
- AI-powered document search in SharePoint
- Microsoft Copilot readiness
- Synthetic data vs. production data
- Secure data pipelines for machine learning
- Enterprise AI compliance strategies
🎯 Who This Episode Is For
- Data scientists
- IT architects
- Microsoft 365 & SharePoint admins
- AI engineers
- Security & compliance professionals
- And anyone building data-driven systems
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