Machine Learning with Dynamics 365 and Power Platform

APPLY CUTTING-EDGE AI TECHNIQUES TO YOUR DYNAMICS 365 ENVIRONMENT TO CREATE NEW SOLUTIONS TO OLD BUSINESS PROBLEMS

In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse Analytics.

The book is filled with clear explanations, visualizations, and working examples that get you up and running in your development of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will transform your business verticals, reducing costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries.

The authors demonstrate:

* What machine learning is all about and how it can be applied to your organization's Dynamics 365 and Power Platform Projects
* The creation and management of environments for development, testing, and production of a machine learning project
* How adopting machine learning techniques will redefine the future of your ERP/CRM system

Perfect for Technical Consultants, software developers, and solution architects, Machine Learning with Dynamics 365 and Power Platform is also an indispensable guide for Chief Technology Officers seeking an intuitive resource for how to implement machine learning in modern business applications to solve real-world problems.

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. Foreword vii

Preface ix

Acknowledgments xi

About the Authors xiii

CHAPTER 1: DYNAMICS 365, POWER PLATFORM, AND MACHINE LEARNING 1

Introduction to Dynamics 365 1

Introduction to Power Platform 6

What Is Machine Learning: How Has It Evolved? 11

Definition of Machine Learning 12

CHAPTER 2: ARTIFICIAL INTELLIGENCE AND PRE-BUILT MACHINE LEARNING IN DYNAMICS 365 33

Azure AI Platform 33

Azure Machine Learning Service 41

Knowledge Mining 67

CHAPTER 3: ML/AI FEATURES AND THEIR APPLICATIONS IN DYNAMICS 365 71

Customer Insights 71

Customer Service Insights 77

Sales Insights 83

Product Insights 95

Virtual Agent for Customer Service in Dynamics 365 96

Artificial Intelligence in Power Apps with AI Builder 99

What Is Mixed Reality? 102

CHAPTER 4: DYNAMICS 365 AND CUSTOM ML MODELS USING AZURE ML 107

Azure Machine Learning 108

Azure Machine Learning Studio 115

Azure Machine Learning Service 146

CHAPTER 5: DEEP DIVE IN MACHINE LEARNING CUSTOM MODELS 149

Azure CLI Extension 149

Visual Studio Code 153

CHAPTER 6: MACHINE LEARNING WITH DYNAMICS 365 USE CASES 161

ML for Finance 162

Demand Forecasting 190

Connected Store 192

ML for Human Resources Management 195

Machine Learning at the Workplace 200

Afterword 205

Index 207