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Digital Tech Trends for 2020: Hyperautomation (Trend No. 2)

The Introduction in the 6 Digital Tech Trends. Read the Blog Series Introduction

Robots change our lives, starting with the classic production and logistics, delicate and dangerous jobs, at home in the household, etc. But also, in our daily work with digital content, context, processes on personal computers.

Hyperautomation is a combination of various tools such as intelligent robot-based process automation (iRPA), intelligent business management software (iBPMS) and artificial intelligence (AI).

These enable the automation of daily routines, tasks, up to recurring tasks with more complex decision criteria. Such tasks can be triggered by a person or an event. A distinction is made between

Unattended

  • Fully automated process in which robots work autonomously and only under human supervision

Attended

  • Semi-automated process in which robots work together with humans also called Robot Desktop Automation (RDA)- Semi-automatic process in which robots work together with humans, also called Robot Desktop Automation (RDA)

Artificial Intelligence (AI)

Thanks to Artificial Intelligence (AI) and Machine Learning (ML), increasingly complex decisions can be automated. This creates a digital twin of the organization, which can provide fast information about processes, functions and performance indicators for corporate management and corporate strategy.

Use the work performance of your employees for meaningful and challenging work.

Applications:

Media breaks in processes to external applications can be easily overcome and interfaces to old systems can be automated using RPA. The integration into manual work in customer portals (orders from ERP directly into a distributor portal, etc.) or supplier portals or logistics portals can be automated.

The RPA can also be used as a migration tool and provides support for master data migration from legacy systems, data preparation, data changes and data quality. It makes migration and conversion easier, automated, faster and more accurate. Therefore, the quality of the data is enhanced.

  • SAP conversion SAP ECC to SAP S/4HANA
  • Migration of master data
  • Correction of master data

 

Data migrations can be created from structured or unstructured data and reused

The RPA can also be used at any time to create your data collections from unstructured data from the Internet and other sources without an interface.

There are two technical options for using RPA. Automation through a classic interface (API, SOAP, REST, etc.) to a system or through the system’s user interface.

Intelligent business management software

Intelligent business management software supports various process steps and employee interactions. These processes can be activated by an intelligent RPA or can be interacted repeatedly which means that these two technologies can work together.

In addition, the technologies for user interaction with the iBPMS mentioned in the article Environmental Experience – MultiExperience – User Experience are as well employed. For example, a chatbot can interact in a workflow and RPA.

The intelligent business management software supports the execution of process flows and decisions before something is permanently booked in a system. The systems are supposed to learn your decisions or those of the users using Artificial Intelligence (AI) and then act on known decisions themselves.

The new BPM tools are now available in such a way that employees without IT or development knowledge can create or change simple processes. This flexibility and agility of customization in conjunction with simplified interfaces must be returned to the business.

Employees can once again focus on their job, which focuses on the core business for the company’s customers. This increases customer satisfaction and product quality, among other things. The trend takes over the repetitive, boring and uninteresting activities for the employees, which also have a high error rate due to their characteristics. This trend will have the most projects in 2020.

Take a suitable process with a lot of repetitive or a media break, make your own experiences in a pilot project in your company. Do not forget; start small, think big and do not invest more than 5 days in the pilot project.

The SAP Leonardo Suite with Artificial Intelligence (AI) and Machine Learning (ML), SAP Intelligent Business Process Management and SAP Intelligent Robotic Process Automation actively support you in your projects and plans.

Intelligent Business Process Management

Provide prebuilt contents:

 

 

SAP Intelligent Robotic Process Automation Store

RAPID: SAP Best Practices for SAP Intelligent Robotic Process Automation integration

 

Data-Driven Insights

automate your live and your business

 

In the next blog post you will learn about smart and autonomous things and how this trend will affect your business. Intelligent Autonomous Things benefit from Artificial Intelligence (AI) and new network technologies.

The autonomous things can act hybrid in the form of a combination of human – machine or completely alone as a machine. It is important that the greatest benefit for the company is derived from the resulting data. The trend is changing your daily routine and your comfort will be even greater.

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