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Architecting Solutions with SAP Business Technology Platform

You're reading from   Architecting Solutions with SAP Business Technology Platform An architectural guide to integrating, extending, and innovating enterprise solutions using SAP BTP

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781801075671
Length 432 pages
Edition 1st Edition
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Authors (2):
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Eric Du Eric Du
Author Profile Icon Eric Du
Eric Du
Serdar Simsekler Serdar Simsekler
Author Profile Icon Serdar Simsekler
Serdar Simsekler
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1 Introduction – What is SAP Business Technology Platform?
2. Chapter 1: The Intelligent Enterprise FREE CHAPTER 3. Chapter 2: SAP Business Technology Platform Overview 4. Part 2 Foundations
5. Chapter 3: Establishing a Foundation for SAP Business Technology Platform 6. Chapter 4: Security and Connectivity 7. Chapter 5: Non-Functional Design for Operability 8. Part 3 Integration
9. Chapter 6: Defining Integration Strategy 10. Chapter 7: Cloud Integration 11. Chapter 8: Data Integration 12. Part 4 Extensibility
13. Chapter 9: Application Development 14. Chapter 10: Digital Process Automation 15. Chapter 11: Containers and Kubernetes 16. Part 5 Data to Value
17. Chapter 12: SAP HANA Cloud 18. Chapter 13: SAP Data Warehouse Cloud and SAP Analytics Cloud 19. Chapter 14: SAP Intelligent Technologies 20. Index 21. Other Books You May Enjoy

Overview of Intelligent Technologies

SAP Intelligent Technologies is a cornerstone of the Intelligent Enterprise strategy. SAP offers a full set of intelligent applications and services to help businesses with better decision-making based on data and intelligence. The intelligent technologies are embedded in SAP’s intelligent suite applications to support and optimize business processes. They are also exposed as part of SAP BTP for customers and ecosystem partners to extend and create new solutions that are innovative and provide competitive differentiation. As depicted in Figure 14.1, SAP’s intelligent offerings include the following:

  • HANA ML: This contains in-database ML libraries and related tooling for AI modeling and algorithms, for structured and tabular data.
  • AI Core and AI Launchpad: These are the foundation for AI runtime and the lifecycle management of AI scenarios. AI Core offers a robust environment for training and serving. AI Launchpad is a SaaS...
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