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Building ERP Solutions with Microsoft Dynamics NAV

You're reading from   Building ERP Solutions with Microsoft Dynamics NAV Solve business scenarios using NAV

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787123083
Length 392 pages
Edition 1st Edition
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Author (1):
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Stefano Demiliani Stefano Demiliani
Author Profile Icon Stefano Demiliani
Stefano Demiliani
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Microsoft Dynamics NAV Architectures FREE CHAPTER 2. Configuring Microsoft Dynamics NAV Web Services 3. Creating an Application Using NAV Web Services 4. Using NAV Web Services with Microsoft Power BI 5. Integrating NAV Web Services and External Applications 6. Extending NAV Pages with Control Add-ins 7. Programming Universal Windows Apps with NAV and Devices 8. Exploring Microsoft Azure and its Services 9. Working with NAV and Azure App Service 10. Implementing a Message-Based Architecture with Azure Service Bus and NAV

Azure Machine Learning


Azure Machine Learning is a cloud based predictive analytics service that permits you to create and deploy predictive models based on your data. The service provides a library of data prediction algorithms that you can use and your predictive model can then be published as a web service and used on your applications (for example, you can use a predictive model from NAV).

You can use a pre-built set of analytics solutions by accessing the Cortana Intelligence Gallery or you can create your new prediction model by using an interactive Azure workplace called Azure Machine Learning Studio:

Note

Machine Learning is a quite complex world. You can start exploring the features at https://azure.microsoft.com/en-us/services/machine-learning.

With Microsoft Dynamics NAV 2017, the Sales and Inventory Forecast extension gives you insights about potential sales and an overview of expected stock-outs. This extension uses Cortana Intelligence to predict future sales based on your sales...

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