Accelerate Your AI Transformation with Data Fabric
Eliminate data silos and create a unified, AI-ready data foundation that scales with your business.
Discover how data fabric architecture connects disparate systems, automates data integration, and enables real-time insights — essential capabilities for successful AI deployment.
AI-Ready Data is The #1 Priority for Enterprises.
But most may never get there.
77% of data management leader prioritize AI-ready data initiatives. It’s the clear #1 investment trend for the next 2-3 years.
But without the right data architecture, the majority of AI projects is destined to fail before production.
Why?
There are free fundamental challenges:
Data is Distributed
Cloud, SaaS, on-premise. Your data lives everywhere, making it impossible to get complete answers without complete access.
Context is Fragmented
Metadata is scattered across systems. Business definitions are lost in tribal knowledge. AI lacks the right context to know what the data means.
Users Expect True Self-Service
Business teams and AI agents need instant access. But traditional approaches for them to wait on pipelines and IT.
The solution: Data Fabric.
Data Fabric: The Foundation for AI-Ready Enterprises
Data fabric creates a unified layer across all your systems — query data where it lives while providing the context AI needs.
What it enables:
Universal Access
Connect every source. Cloud, SaaS, on-premise without moving data first.
Complete Context
Assemble metadata, definitions, and lineage automatically
Self-Service
Enable all agents, users, and tools instantly across domains
Anyone that has access to the data fabric can instantly consume. That’s really our vision.
– Quest Diagnostics, VP of Data
Download the Step-by-Step Guide to AI-Ready Data
What you will find in this report:
✓ Step-by-step journey from fragmented data to AI-ready foundation
✓ How to assess your data readiness for AI
✓ Technologies and architectures needed to support AI-ready data
✓ Building the business case and securing executive buy-in
✓ Governance strategies that scale AI while mitigating risks
