Building an AI-ready data foundation on Azure
How unified data, governance and metadata power analytics, agents and enterprise AI
You can invest in the right AI tools and talent, but results still depend on your data foundation. This e-book explores how fragmented data holds analytics and AI back — and how a unified Microsoft® Azure® data platform supports scalable, dependable intelligence.
AI only delivers value when the data beneath it is trusted and consistent. When that foundation struggles to scale, intelligence does too. This guide explains how bringing together Microsoft Fabric and Azure Databricks on Azure creates a unified, governed and AI-ready data platform built for enterprise growth.
What you’ll learn
This e-book focuses on the decisions and capabilities that determine whether analytics and AI can scale across the enterprise. It’s designed for leaders who need clarity, not theory.
- How to build a unified Azure data foundation that supports analytics, AI and copilots
- When to use Microsoft Fabric, Azure Databricks or a hybrid lakehouse model
- How to embed governance, security and metadata directly into Azure workflows
- Ways to enable self-service analytics without losing control or trust
- How to move AI initiatives beyond pilots into reliable, everyday operations
- Early indicators of success before financial ROI appears
Artificial Intelligence, Business Operations, IT Operations
Artificial Intelligence, Business Operations, IT Operations