Test – Unleashing Enterprise Data for AI

Unleashing Enterprise Data for AI:
Overcoming 4 Common Barriers

Learn how to break down silos, improve data quality, and unlock knowledge to scale enterprise AI.

Many organizations struggle to scale AI beyond proof-of-concept.

Projects stall as teams lose time chasing fragmented data, debating inconsistent definitions, and questioning outputs due to poor data quality. These challenges erode trust and prevent pilots from reaching production.

According to Gartner, 60% of AI projects fail without a strong data foundation, and 30% of generative AI projects are abandoned after POC due to poor data quality.

Success isn’t about perfect data—it’s about addressing silos, implementing governance, and unlocking the 70–90% of enterprise knowledge trapped in unstructured formats.

This webinar will share practical strategies and real-world examples of organizations overcoming these barriers with Microsoft Fabric and Azure AI.

What you’ll learn: 

  • How data silos and inconsistent definitions delay enterprise AI progress

  • Why addressing data quality early prevents downstream AI failures

  • Practical approaches to unlock unstructured knowledge for AI use cases

  • Real-world examples of predictive safety analytics and RAG applications

  • How Microsoft Fabric supports unified data, governance, and AI readiness

Watch the Webinar!