Vinnie Bansal - Machine Learning with Dynamics 365 and Power Platform

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Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems  In 
, 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, 
 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.

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The initial drafts of the book have passed multiple hands and undergone several revisions. Each revision provided us with invaluable feedback from the following reviewers. They have been relentless in their contributions, which enabled us to include additional concepts, refine ideas, increase our focus, add clarity, and continuously evolve.

We owe immense gratitude to all our reviewers, who are industry experts and leaders in their own professions and gave their time by providing great input and valuable suggestions, offering insights, and challenging the draft chapters constructively throughout the production of the book. Without their support our work would not have evolved into the book that you are reading now.

We are forever indebted to all of them:

1 Saurabh Nijhawan—Lead Consultant at Microsoft

2 Nick Brady—Senior Program Manager at Microsoft

3 Stefaan Lampaert—Enterprise Solution Architect at Microsoft

4 Fredrik Saetre—Technology Specialist Manager at Microsoft

5 Deepak Agarwal—Project Lead at KPMG, Microsoft MVP

6 Christopher Davis—Technical Strategist at Microsoft

7 Vadim Korepin—Functional Architect at Microsoft

8 Markus Turunen—CIO and Business Lead (Machine Learning and Intelligent Automation)

9 Monika Adams—D365 CE Enthusiast

10 Manali Tiwari—Technical Writer

11 Sneh Swaroop—Technical Consultant at Microsoft

12 Rajkiran Divekar—IT Manager

13 Fawad Khan—Digital Community and Social Leader for Dynamics 365 at Microsoft

14 Manish Rajput—AI/ML Practitioner

15 May Alhajri—Digital Analyst, Microsoft MVP

16 Anupama Natarajan—Data & AI Consultant, MCT, Microsoft AI MVP

About the Authors

AURELIEN CLEREwas a Global Technical Architect in the Microsoft Business Application ecosystem for more than 12 years. Aurelien is a Microsoft Most Valuable Professional (MVP) and Microsoft Certified Trainer (MCT) with more than 15 Microsoft certifications. He started his career in Microsoft Business Applications with Dynamics AX and Dynamics CRM. Following the strategy of pushing his knowledge to have a global overview on Microsoft applications, he joined the Azure side in 2013 with a French start‐up to develop an ISV with Dynamics CRM and all Azure components (Data Platform, Machine Learning).

Aurelien is now working for a French Dynamics Partner called Dynagile Consulting. He's been working for several years on the Architecture side with the conception, integration, and deployment of Dynamics 365 Finance Operations, Power Platform, Dynamics 365 CE, and Azure components (Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning).

He is also known for organizing the Power Platform French Summit with more than 2,000 participants. With his blog ( powerazure365.com) and his YouTube channel, and all his sessions in community events, he shares his knowledge to help with leveraging data in Dynamics 365.

His main focuses are:

Dynamics 365 Finance and Operations

Dynamics 365 AI: Customer Insights with Azure Machine Learning, Finance Insights

AI: All Azure Cognitive Services, Azure ML, AI Builder, Bot Service with PVA

Power Platform (PowerBI, Power Apps and Power Automate, PVA)

Azure Data Lake with Dynamics 365

Data Insights / ML Insights / Predictions / AI Builder in Dynamics365 projects with Azure components + Azure AI Services

Data Platform: Azure Synapse Analytics with Data Lake of Dynamics 365 Data – Azure Purview and PowerBI – Modern Data warehouse

VINNIE BANSALhas passion and expertise for envisioning the big picture by working with the customers of Dynamics 365 Finance and Dynamics 365 Supply Chain Management to assist the innovation process, end‐to‐end, and to empower enterprises to overcome their biggest hurdles, streamline complex “pain points,” realize their goals, and achieve business transformation.

His deep understanding of the Microsoft Dynamics 365 application and his exceptional professional relations skills have made him a valuable contributor to every customer he has had the privilege to support over the past 14 years.

Realization of functional fit/gap analysis takes on an active functional role during the discovery and implementation process: analyzing and optimizing business processes in order to provide the best functional and/or technical solutions; providing multiple solutions to a problem; and at the same time evaluating the business impact of the solutions.

To give back to the Microsoft Dynamics 365 community and industry, he regularly shares his experiences, customer solutions, and learning in his LinkedIn posts and articles. He believes in staying updated with industry best practices and keeping himself with the best in the domain.

CHAPTER 1 Dynamics 365, Power Platform, and Machine Learning

INTRODUCTION TO DYNAMICS 365

There was a time when businesses used individual applications to perform several business functions like marketing, field service, project service, customer service, operations, and finance. No one ever imagined how difficult and time‐consuming it would be to navigate from one application to another and maintain large amounts of data that were growing every second.

For digital transformation to happen, we needed an intelligent system that can be molded to all businesses and has the agility to evolve and expand as the business changes. Such a system can consolidate individual apps that you use for customer service, sales, or field service; can be easily deployed and customized; and, most of all, can provide a unified experience.

Here comes Microsoft Dynamics 365. It is a set of cloud‐based business applications, such as components of customer relationship management (CRM) and enterprise resource planning (ERP), along with productive applications and artificial intelligence tools, all together in one platform. Dynamics 365 brought an end to information silos between the CRM and ERP, all because of a shared business database known as the Common Data Model, which helps you to overcome obstacles between critical business platforms and make your data work together.

Microsoft Business Applications

Who doesn't want to envision the future of their business? And what's better than relying on customers for the transformation of your business? Understanding what customers want is one of the biggest challenges faced by businesses today. To understand what customers want requires focusing on these four transformational outcomes:

1 Empowering employees. Dynamics 365 empowers employees by giving them tools and actionable insights with the knowledge and information required to operate in real time.

2 Engaging customers. Dynamics 365 improves customer engagement by enabling employees to connect with potential customers proactively and regularly capture customer feedback to provide a personalized service experience.

3 Optimizing operations. Dynamics 365 provides a central source of intelligence that offers instant knowledge of your global workforce and supply chain with the flexibility to collaborate with various devices anytime to manage operations effectively and build innovative products.

4 Modifying the products or services in the business model. Dynamics 365 streamlines all your business processes and analyzes your business requirements to help you achieve your desired goal.

These four areas give an organization a comprehensive view to provide a standard rich data model that can consistently work across all your business applications to connect customers, products, people, and data.

Customer Relationship Management

As the name suggests, a traditional customer relationship management system focuses on developing and maintaining relationships by meeting the needs of the customers. It uses advanced technologies to organize, automate, and integrate different business components such as marketing, sales, and customer service. But how is Dynamics 365 CRM different from others?

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