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Implementing Machine Learning with SAP S/4HANA

SAP PRESS: englisch

Erschienen am 28.09.2020, 1. Auflage 2020
89,95 €
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Bibliografische Daten
ISBN/EAN: 9781493220113
Sprache: Englisch
Umfang: 408 S.
Einband: gebundenes Buch

Beschreibung

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

Produktsicherheitsverordnung

Hersteller:
Rheinwerk Publishing, Inc.
info@rheinwerk-publishing.com
2 Heritage Drive, Suite 305
US 2171 Quincy
Importeur:
Rheinwerk Verlag GmbH
Rheinwerk Verlag GmbH
service@rheinwerk-verlag.de
Rheinwerkallee 4
DE 53227 Bonn

Autorenportrait

Dr. Siar Sarferaz is a chief software architect at SAP. In this role he drives digital transformation by focusing on artificial intelligence and predictive analytics. He began his career as a method researcher at Siemens AG, before moving to SAP, where he has now worked for more than 20 years, holding various positions. He is the lead architect for machine learning implementation in SAP S/4HANA and is in charge of all concepts for infusing intelligence into business processes. He studied computer science and philosophy and holds a Ph.D. in computer science.