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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 Perfor...
This book explains the functional scope, the data model, the solution architecture, the underlying engineering concepts, and the programming model of SAP S/4HANA as the most well-known enterprise resource planning (ERP) system. The approach is to start with general concepts and then to proceed step-by-step to concrete implementations in SAP S/4HANA. In the first part the reader learns about the market view of ERP solutions and vendors. The second part deals with the business processes for sales, marketing, finance, supply chain, manufacturing, services, procurement, and human resources which are covered with SAP S/4HANA. In the third part the underlying concepts of SAP S/4HANA are described,...
Software measurement is one of the key technologies employed to control and manage the software development process. Research avenues such as the applicability of metrics, the efficiency of measurement programs in industry, and the theoretical foundations (of software engineering?) have been investigated to evaluate and improve modern software development areas such as object-orientation, compone- based develop-ment, multimedia systems design, reliable telecommunication systems etc. In the tradition of our software measurement research communities, the German Computer Science Interest (GI) Group on Software Measurement and the Canadian Interest Group in Software Metrics (CIM) have attended t...
Work smarter with machine learning! Begin with core machine learning concepts--types of learning, algorithms, data preparation, and more. Then use SAP Data Intelligence, SAP HANA, and other technologies to create your own machine learning applications. Master the SAP HANA Predictive Analysis Library (PAL) and machine learning functional and business services to train and deploy models. Finally, see machine learning in action in industries from manufacturing to banking. a. Foundation Build your understanding of probability concepts and algorithms that drive machine learning. See how linear regression, classification, and cluster analysis algorithms work, before plugging them into your very ow...
The AUTOSAR Compendium - Part 1 summarizes the first part of the AUTOSAR 4.0.3 specification, namely the Application Layer and the RTE.
SAP Fiori strategy, standards, and guidelines -- SAP cloud platform and web IDE basics -- Extensibility in SAPUI5 -- Deployment
The history of implementing ERP systems has shown that leaving the fate of your Enterprise Resource Planning project in the hands of software consultants and vendors may only create a false sense of security. While the help of consultants is usually required, they are not all-knowing, have a limited ability to control the keys to project success, and are often the beneficiaries of cost overruns. When it comes to software vendors, their sales people will be long gone when it comes time to go-live with the new system. This book presents comprehensive strategies and techniques that enable organizations to take charge of their Enterprise Resource Planning projects to drive success. It is a guide...