Leverage machine learning in the new suite!

Implementing Machine Learning with SAP S/4HANA

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$89.95

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Print edition E-book Bundle

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$79.99

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408 pages, , Print edition hardcover
ISBN 978-1-4932-2011-3
408 pages,
E-book formats: EPUB, MOBI, PDF, online
ISBN 978-1-4932-2012-0
408 pages, , Print edition hardcover
E-book formats: EPUB, MOBI, PDF, online
ISBN 978-1-4932-2013-7
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 can be implemented in various 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!
  • Learn about machine learning tools for SAP S/4HANA
  • Implement machine learning and predictive models using embedded services, SAP Cloud Platform, and SAP Analytics Cloud
  • Explore SAP-delivered machine learning applications and processes
About the Book About the E-book 408 pages, hardcover, 1 in. Reference book format 7 x 10 in. Printed black and white on 60# offset paper from sustainable sources. Casebound for durability. Reader-friendly serif font (TheAntiquaB 9.5 Pt.). One-column layout. E-book in full color. PDF (16 MB), EPUB (12 MB), and MOBI (37 MB) file for download, DRM-free with personalized digital watermark. Copy and paste, bookmarks, and print-out permitted. Table of contents, in-text references, and index fully linked. Including online book edition in dedicated reader application.

In this book, you’ll learn about:

  1. 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.

  2. 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.

  3. 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:

  • Predictive analytics
  • Predictive intelligence
  • Tools and technologies
  • Architecture
  • Embedded services
  • Technical implementation
  • Business implementation
  • Extensibility
  • SAP HANA
  • SAP Cloud Platform
  • SAP Analytics Cloud

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.

Raghu Banda is a senior director of AI product strategy at SAP Labs, where he is responsible for infusing AI technologies in SAP S/4HANA.

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