www.eco.de
+49 221 700048-0
info@servicemeister.org

An AI-based Service Ecosystem for
Technical Service in the Age of Industry 4.0

Funding program: “AI Innovation Competition”

News

+++ Press +++ News from the project +++ Trends +++

Service mit KI und IoT

Service with AI and IoT: Improve products, optimize production facilities

The majority of all company leaders believe that artificial intelligence (AI) will change the business world. Only a minority, however, expect that impact on their own company. Why aspirations and reality continue to diverge in the SME sector. And what’s can be done with AI and machine data beyond maintenance.

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Vorstellung eines Service-Meister Use Cases in dem USU und Atlas Copco zusammenarbeiten

Atlas Copco and USU Software: Better connected with AI in technical service

Since the beginning of the year, Service-Meister has been putting artificial intelligence (AI) into practice. This is embodied by the six speedboat projects with their use cases in the technical service. How are things progressing? In which areas are successes and hurdles emerging? In a new series of articles, we take a look into the engine room of the AI project.

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Artificial intelligence and the Law: What AI users in SMEs should know

Although more and more industries are processing data with artificial intelligence (AI), there is no dedicated AI law. “As long as there are no AI regulations, the requirements can only be derived from the applicable laws,” said Dr. Lutz M. Keppeler, specialist lawyer for IT law, recently in a Serivce-Meister webinar.

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The goals of the Service-Meister project

To secure an advantage in the Service sector

The concept

Industrial usage of artificial intelligence for SMEs

Events

Current workshops, expert meetings, and transfer events

AI FOR GERMAN SMES

The market is changing:
Industrial value creation is becoming a service model

In the German industry, there is a fundamental change in how value is created; from products to services. There is a demand for innovative business models which require German SMEs to use and market their internal company-specific “service knowledge”…

The task:
To market “service knowledge” for industrial plants

The “service knowledge” required for industrial plants exceeds the knowledge of individual service technicians and also of companies. This, combined with the shortage of skilled workers, means that German small and medium-sized companies will face the enormous challenge of securing their leading edge in the Service sector in the coming years.

Goal 1
AN AI-BASED & CROSS-COMPANY SERVICE PLATFORMS FOR SMES

Service-Meister is to develop an AI-based, cross-plant, cross-department, and cross-company service platform for German SMEs.

Goal 2
TO SUPPORT STAFF

Less-qualified staff are to be enabled to offer complex services with the help of digital guides, such as AI-based ServiceBots and Smart Services.

Goal 3
TO ENABLE CROSS-COMPANY “SERVICE”

Digital service knowledge will enable cross-company scalability of service on a single platform.

Goal 4
TO STAY COMPETITIVE
IN SPITE OF THE SHORTAGE OF SKILLED WORKERS

A service ecosystem will evolve from the cross-company scaling which will combat the skills shortage in Germany and will keep German SMEs competitive in the long-term.

Workshops for your business…

We need case studies!
What’s in it for you:

1) We find solutions for you!
2) We develop integration standards for SMEs.
3) We develop meaningful networking and demarcation mechanisms.
4) We develop a comprehensive platform
for an effective market development of German companies.
Contact us!

The Consortium


eco – Association of the Internet Industry
Lead


Adolf Würth GmbH & Co. KG


Atlas Copco IAS GmbH


Beuth University of Applied Science Berlin


Fraunhofer Institute for Software and Systems Engineering ISST

grandcentrix GmbH


inovex GmbH


Institute for Internet Security – if(is)


 University of Stuttgart


Karlsruher Service Research Institute (KSRI)


KEB Automation KG


Kompetenznetzwerk Trusted Cloud e. V.


KROHNE Messtechnik GmbH

TRUMPF Werkzeugmaschinen GmbH + Co. KG


USU Software AG