Foreword viiPreface ixAcknowledgments xiAbout the Authors xiiiChapter 1: Dynamics 365, Power Platform, and Machine Learning 1Introduction to Dynamics 365 1Introduction to Power Platform 6What Is Machine Learning: How Has It Evolved? 11Definition of Machine Learning 12Chapter 2: Artificial Intelligence and Pre-Built Machine Learning in Dynamics 365 33Azure AI Platform 33Azure Machine Learning Service 41Knowledge Mining 67Chapter 3: ML/AI Features and Their Applications in Dynamics 365 71Customer Insights 71Customer Service Insights 77Sales Insights 83Product Insights 95Virtual Agent for Customer Service in Dynamics 365 96Artificial Intelligence in Power Apps with AI Builder 99What Is Mixed Reality? 102Chapter 4: Dynamics 365 and Custom ML Models Using Azure ML 107Azure Machine Learning 108Azure Machine Learning Studio 115Azure Machine Learning Service 146Chapter 5: Deep Dive in Machine Learning Custom Models 149Azure CLI Extension 149Visual Studio Code 153Chapter 6: Machine Learning with Dynamics 365 Use Cases 161ML for Finance 162Demand Forecasting 190Connected Store 192ML for Human Resources Management 195Machine Learning at the Workplace 200Afterword 205Index 207
AURELIEN CLERE is a Microsoft MVP, Global Solution Architect with 10 years of experience in the Dynamics world (ERP, CRM). He is a speaker and organizes weekly webinars.VINNIE BANSAL is an independent Dynamics 365 Business Advisor. He liaises between business and IT teams and serves as technical advisor to clients in assigned subject areas.