Full Description
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
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.
