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Intelligent SAP Technologies for fast-growing companies

Artificial intelligence and machine learning are now used by companies of all industries and sizes. What is more: all solutions used have positive effects. Intelligent technologies like these support the digital transformation of companies and are becoming more and more important.

 

For the development of advanced AI solutions, SAP provides its SAP Data Intelligence portfolio (previously SAP Leonardo). Its technical basis is SAP Cloud Platform, a platform-as-a-service solution. The SAP Data Intelligence portfolio includes numerous innovative technologies, such as AI, ML, Internet of Things (IoT), Big Data or Blockchain. The platform provides application developers with comprehensive functions and a wide development environment they can use to enhance, integrate and create innovative applications themselves within the shortest of time and without any infrastructure maintenance efforts. Companies enormously strengthen their innovative power through intelligent functions.

Your benefits by implementing intelligent SAP Technologies

  • Smooth integration of AI applications
  • Easy adjustment, enhancement, optimization and automation of processes
  • Simplified and faster work flows
  • Data-driven services can be provided immediately
  • Detailed forecasts and, consequently, faster decision making on a strong data basis
  • Creation of new data-based business models
  • Improved adaptability to market changes
  • Increased competitiveness and efficiency
  • Directly measurable added value through cost reduction and time saving

Artificial intelligence and machine learning as innovation driver

What does “artificial intelligence” mean? Artificial Intelligence (AI) means the capacity of machines and systems to imitate human behavior in order to simulate intelligent behavior. It is either the fulfillment of specific tasks, such as advertizing personalization (applied AI), or more comprehensive activities, where, for instance, entire systems or devices completely imitate human behavior (general AI).

 

Contrary to many opinions, Machine Learning (ML) is not the same as AI. It is part of artificial intelligence focusing on algorithms and mathematic models. Samuel Arthur, a pioneer in the field of AI, described ML as “the ability of a system to learn without being explicitly programmed”. This intelligence is “trained” in such a way that it can solve any occurring problems by itself by developing the appropriate AI algorithms. The bigger the dataset and the number of sources, the more successful AI technology will be.

Overview of SAP Data Intelligence

  • Conversational Artificial Intelligence (AI or CI) includes the entirety of intelligent technologies standing behind automated message transmission and voice-activated applications. They enable human-like interactions between computers and humans. As a result, users will be guided and supported in their daily business.
  • Intelligent Robotic Process Automation (IRPA) is the combination of RPA, ML and AI. Tasks, such as the processing of messages and orders or the execution of data transfers, are assigned to digital robots or “bots” as they are called. These bots efficiently implement time-consuming and repeating processes.
  • Internet of Things (IoT) means the networking of devices, machines and installations with and through the Internet. Sensor data transferred in real time increase the transparency of business processes. Decisions based on this data will be made proactively and more quickly.
  • Machine Learning (ML) is part of artificial intelligence. IT systems (machine learning models) are trained on the basis of existing datasets and algorithms enabling them to identify patterns and rules and use them to develop results by themselves. In this way, business decisions are optimized or even made automatically.

Business Innovation Portfolio by FIS for your intelligent company

Usually, self-learning technologies, such as ML, become relevant if applications cannot be optimized or developed in a rules-based way. The FIS professionals work every day on testing and further developing innovations by using ML, RPA or bots. FIS, for instance, enhances its own products through the use of machine learning or further develops customer-specific ideas and proposals.

Companies receive master data from various sources. Quick and automated data processing requires a predefined mapping in the corresponding target tables or target fields. The ML mapping for FIS master data automatically identifies the file contents (tabular structure) and assigns them to the correct fields. This saves a huge amount of processing time and manual efforts during data maintenance.

RPA is used to optimize and, consequently, simplify the daily working life. As a result, skills shortage and increasing cost pressure are compensated. Employees are given more time for demanding and creative working. Software robots executing routine activities and interacting with other software are examples of RPA in the IT sector.

In the field of finance and accounting, ML can be used, for instance, for the classification of FI invoices. FIS offers an intelligent cost account assignment and approver determination for credit-side cost accounting. ML is used to create an automatic account assignment logic. Afterwards, the tool determines the approver responsible for the invoice and transfers it automatically for being approved.

FIS offers the quick and easy implementation of chatbot integrations for simplifying the routine tasks of all persons responsible. The digital assistant understands “natural” language and interprets recurring requests of an employee. The bot has direct access to the SAP ERP tables and immediately delivers the requested answers concerning, for instance, the queries of open tasks in the worklist. Consequently, the personal assistant improves the user experience and, at the same time, optimizes daily corporate tasks.

In the field of master data harmonization, FIS uses ML to offer intelligent procedures that can be adjusted individually. Consequently, it is possible to automatically perform duplicate checks of different SAP objects in the vendor, customer or material areas for instance. The solution is an important decision-making aid for efficient master data maintenance.

Companies are facing more and more challenges due to the permanently increasing number of inbox documents. During document classification and analysis, ML can be used for an inbox process automation, e.g. for the further processing of restructured purchase orders. The trained intelligence learns to understand incoming purchase orders as continuous texts, to annotate them and assign them to the correct processing procedure.

Further methods and technologies for application development

SAP Cloud Platform (SCP)

On the SCP enterprise platform, high-performing cloud applications based on the high-performance SAP HANA in-memory database can be developed in an agile way. Benefit from the seamless integration and enhancement of your ERP processes or further SAP systems.

 

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Individual developments and new technologies

In addition to SAP software and optimizations, FIS offers the development of individual software solutions for your specific challenges. The FIS IT experts use, for instance, Machine Learning and AI-based applications.

 

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Why not enter the path to becoming an intelligent company together with FIS and the long-standing know-how of the FIS IT professionals? Each of your business areas has innovations that are waiting for the starting signal. Please contact the experts directly when it comes to successfully and jointly integrating intelligent technologies in your company.

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