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.
According to Gartner:
60% of AI projects fail without a strong data foundation to support scale and success
30% of generative AI projects are abandoned after a 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.
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