Implementing Machine Learning with SAP S/4HANA

  • 6h 13m
  • Raghu Banda, Siar Sarferaz
  • Rheinwerk Publishing Inc.
  • 2020

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

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.

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.

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.

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

About the Authors

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. He has worked with predictive analytics and machine learning since SAP entered the area in 2012. He holds a Bachelor of Science in computer science and engineering and will soon graduate from the prestigious INSEAD business school.

Dr. Siar Sarferaz is a chief software architect at SAP. He began his career as a method researcher at Siemens AG, before moving to SAP, where he has now worked for more than 18 years. He is the lead architect for machine learning implementation in SAP S/4HANA. He studied computer science and philosophy and holds a Ph.D. in computer science with a focus on software engineering.

In this Book

  • Introduction to Predictive Intelligence
  • The Evolution of Predictive Analytics and Machine Learning at SAP
  • Tools, Technologies, and Services
  • Architecture
  • Technical Implementation
  • Business Implementation
  • Services on SAP Cloud Platform
  • The Road Ahead and Further Learning