Implementing Machine Learning with SAP S/4HANA

Implementing Machine Learning with SAP S/4HANA
Author :
Publisher : SAP PRESS
Total Pages : 408
Release :
ISBN-10 : 149322011X
ISBN-13 : 9781493220113
Rating : 4/5 (113 Downloads)

Book Synopsis Implementing Machine Learning with SAP S/4HANA by : Siar Sarferaz

Download or read book Implementing Machine Learning with SAP S/4HANA written by Siar Sarferaz and published by SAP PRESS. This book was released on 2020 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put machine learning to work in SAP S/4HANA! Get started by reviewing your available tools and implementation options. Then, learn how to set up services, train models, and manage applications. Discover how machine learning is implemented in key lines of business, from finance to sales. With details on extensibility and related SAP Cloud Platform services, you'll find everything you need to make the most of machine learning! In this book, you'll learn about: a. Tools and Technologies Get to know the machine learning toolkit you can use to consume models: SAP HANA, SAP Cloud Platform, SAP Analytics Cloud, SAP Intelligent Robotic Process Automation, and more. b. Technical Implementation Perform the technical setup in SAP S/4HANA. Learn how to implement key services, train machine learning models, and manage applications, from data integration to user interface design. c. Business Implementation See how machine learning improves your lines of business. Explore machine learning in SAP S/4HANA business processes for finance, procurement, sales, inventory, and more. Highlights Include: 1) Predictive analytics 2) Predictive intelligence 3) Tools and technologies 4) Architecture 5) Embedded services 6) Technical implementation 7) Business implementation 8) Extensibility 9) SAP HANA 10) SAP Cloud Platform 11) SAP Analytics Cloud


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