Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics

Description

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.  Cover Title Page Copyright Page Contents Foreword Preface Acknowledgments About the Authors Chapter 1 Dynamics 365, Power Platform, and Machine Learning Introduction to Dynamics 365 Microsoft Business Applications Common Data Model Introduction to Power Platform What Is Power Platform? What Is Machine Learning: How Has It Evolved? Definition of Machine Learning Evolution of Machine Learning Lifecycle of Machine Learning Advantages of Machine Learning Drawbacks of Machine Learning Machine Learning + Dynamics 365 / Power Platform: Insights Everywhere Chapter 2 Artificial Intelligence and Pre-Built Machine Learning in Dynamics 365 Azure AI Platform Machine Learning Azure Machine Learning Service AI-powered Apps and Agents Knowledge Mining Chapter 3 ML/AI Features and Their Applications in Dynamics 365 Virtual Agent for Customer Service in Dynamics 365 Fraud Protection Artificial Intelligence in Power Apps with AI Builder What Is Mixed Reality? Dynamics 365 Apps for Mixed Reality Dynamics 365 Mixed Reality Apps Chapter 4 Dynamics 365 and Custom ML Models Using Azure ML Azure Machine Learning Azure Machine Learning Concepts Azure Machine Learning Studio Authoring Experience in Azure ML Studio When to Use Automated ML How Does the Automated ML Machine Learning Process Work? Classification How to Select Algorithms Which Parameters Should We Select to Tune? Ensemble Models Designer Authoring Experience in Azure ML Studio Azure Machine Learning Pipelines Registered Model Published Pipelines Real-TimeEndpoints Notebooks Azure Machine Learning Service Chapter 5 Deep Dive in Machine Learning Custom Models Azure CLI Extension Visual Studio Code Customer Churn Prediction Customer Lifetime Value Product Recommendation System Chapter 6 Machine Learning with Dynamics 365 Use Cases ML for Finance Accounts Payable Accounts Receivable Travel Expense Fraud Detection Demand Forecasting Connected Store ML for Human Resources Management Machine Learning at the Workplace Afterword Index EULA