News
+++ Press +++ News from the project +++ Trends +++
AI meets Distributed Ledger: Building marketplaces, sharing data and breaking silos
Artificially intelligent (AI) decisions must be trustworthy for all parties involved. Not only to gain the desired acceptance and acceptability, but also to advance Europe as a location for AI, says Prof. Ali Sunyaev. In an interview, the professor of Computer Science at the Karlsruhe Institute of Technology (KIT) explains what makes AI trustworthy and reliable.
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Attacks on AI: How algorithms can be manipulated
Whether autonomous vehicles or smart chatbots – cyber attackers can trick artificially intelligent software models. “Hackers can manipulate neural networks and lead them astray,” says Nurullah Demir, an expert in cybersecurity and AI. How algorithms can be sabotaged and protected.
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Developing successful data products in a structured and strategic way
Service-Meister relies on open platforms and an AI-based ecosystem. Now the development of the first data products has started in the workshop. In a two-part series, we accompany the experts. Read in part 2: What distinguishes successful data-driven services.
Read moreAI 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…
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
