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

Clere, Aurelien; Bansal, Vinnie

Hardcover

ISBN 10: 1119771293 ISBN 13: 9781119771296

Verlag: John Wiley & Sons Inc, 2022

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

<p>Microsoft offers robust and flexible solutions for businesses seeking to harness the capabilities of machine learning and artificial intelligence. But how these solutions work in the field&#8212;and how the various tools fit together&#8212;remains a mystery to some.</p> <p>In <i>Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics,</i> a team of accomplished digital transformation and data analytics professionals delivers a comprehensive discussion of exactly how to integrate AI Builder with Dataverse and Dynamics 365. Readers will learn how to build adaptable and functional machine learning models using Azure Data Lake, Databricks, and Azure Synapse Analytics. <p>Complete with crystal-clear explanations, revealing visualizations, and working examples that will get readers&#8217; supervised, unsupervised, and reinforcement learning strategies up and running, the book offers businesses the potential to reduce costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries. <p><i>Machine Learning with Dynamics 365 and Power Platform</i> explores the fundamentals of machine learning and how to apply it to your Dynamics 365 and Power Platform Projects, as well as how to create and manage environments for developing, testing, and producing a machine learning project. Finally, you&#8217;ll learn how adopting machine learning techniques will redefine the future of your enterprise resource planning and customer relationship management system. <p>Perfect for Microsoft and machine learning solution architects, software developers, and technical consultants, <i>Machine Learning with Dynamics 365 and Power Platform</i> also belongs in the libraries of chief technology officers looking for an authoritative reference on the implementation of machine learning to solve modern business problems.

Aus dem Klappentext

Microsoft offers robust and flexible solutions for businesses seeking to harness the capabilities of machine learning and artificial intelligence. But how these solutions work in the field--and how the various tools fit together--remains a mystery to some.

In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, a team of accomplished digital transformation and data analytics professionals delivers a comprehensive discussion of exactly how to integrate AI Builder with Dataverse and Dynamics 365. Readers will learn how to build adaptable and functional machine learning models using Azure Data Lake, Databricks, and Azure Synapse Analytics.

Complete with crystal-clear explanations, revealing visualizations, and working examples that will get readers' supervised, unsupervised, and reinforcement learning strategies up and running, the book offers businesses the potential to reduce costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries.

Machine Learning with Dynamics 365 and Power Platform explores the fundamentals of machine learning and how to apply it to your Dynamics 365 and Power Platform Projects, as well as how to create and manage environments for developing, testing, and producing a machine learning project. Finally, you'll learn how adopting machine learning techniques will redefine the future of your enterprise resource planning and customer relationship management system.

Perfect for Microsoft and machine learning solution architects, software developers, and technical consultants, Machine Learning with Dynamics 365 and Power Platform also belongs in the libraries of chief technology officers looking for an authoritative reference on the implementation of machine learning to solve modern business problems.

Details zur Ausgabe

• Verlag: John Wiley & Sons Inc
• Erscheinungsdatum: 2022
• ISBN 10: 1119771293
• ISBN 13: 9781119771296
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 240
• Kontakt zum Hersteller: Nicht verfügbar