In today's rapidly evolving digital landscape, businesses must move beyond traditional strategies to unlock the transformative potential of AI. Driving Digital Transformation with Azure AI Foundry is a hands-on guide to leading this change using Microsoft's powerful cloud and AI ecosystem.
From aligning business goals with AI capabilities and designing user-centric solutions to harnessing real-time data and enabling intelligent automation, this book covers the entire AI lifecycle using Azure's powerful suite--Azure AI Foundry, OpenAI, Cognitive Services, Synapse, Fabric, and more. It starts with an introduction to Azure AI Foundry and setting up its environment, followed by design and building of AI solutions. With an emphasis on responsible AI, security, and scalability, the book explores key principles for governance, trust, and ethical innovation in Azure AI Foundry. Real-world case studies across industries--healthcare, retail, finance, manufacturing, and government--demonstrate Azure AI Foundry's tangible impact. Whether you're a business leader, technologist, or architect, this book equips you with the knowledge to unlock AI's full potential with Azure AI Foundry.
After reading the book, you will learn to recognize high-impact use cases, align business objectives with Azure AI Foundry capabilities, and understand the essential building blocks of a modern, digital-first organization.
What You Will Learn: - Build & Launch Impactful AI Solutions on Azure
- Shape an AI-Powered & Responsible Organization
- Drive Tangible Business Outcomes & Scale Success
- Leverage powerful Azure services like Azure Machine Learning, Azure OpenAI Service, and Cognitive Services within their organization's projects.
Who This Book Is For:
Azure AI Architects and Data Professionals
Table of Contents:
Chapter 1: The New Era of Digital Transformation.- Chapter 2: Introduction to Azure AI Foundry.- Chapter 3: Designing and Building AI Solutions.- Chapter 4: Enabling Data-Driven Intelligence.- Chapter 5: Orchestration and Automation with AI Agents.- Chapter 6: Responsible AI and Governance.- Chapter 7: Security and Trust in Enterprise AI.- Chapter 8: Real-World Case Studies and Industry Applications.- Chapter 9: Scaling and Operationalizing AI.- Chapter 10: The Future of AI in Digital Transformation.
About the Author :
Mezba Uddin is a Cloud and Infrastructure Specialist and Microsoft MVP (M365 & Security) with extensive experience designing and operating secure, large-scale Microsoft cloud environments in the public sector, particularly in healthcare. As Technical Authority at East Lancashire Hospitals NHS Trust, he leads the architecture and governance of a digital estate serving more than 16,000 users, using the Microsoft Security stack and Azure to keep critical services resilient, compliant, and cost-efficient. With a background in Business Administration and a career built through self-directed engineering, Mezba blends commercial awareness with deep technical capability. He has led major FinOps programmes that have reduced cloud and licensing costs while expanding capability, and holds advanced certifications including Microsoft Certified Cybersecurity Architect Expert and Azure Solutions Architect Expert. As a Microsoft Certified Trainer (MCT), he regularly teaches and mentors engineers, students, and startups on cloud platforms, security architectures, and the practical application of AI in enterprise environments.
