Marketing Material


Press Publications:

30.03.2022 | dotmagazine
How SMEs Succeed with AI & Standards – Not Only in Service

30.03.2022 | GLOBAL INDUSTRY ORGANIZATIONS
GIO White Paper: Industry-Specific Ecosystems

22.02.2022 | dotmagazine
Using Knowledge Graphs to Find Information in the Age of Big Data

22.02.2022 | dotmagazine
Rent Instead of Buy: Pay-Per-Part Models in Industrial Service

22.02.2022 | dotmagazine
Service-Meister is given its own section in dotmagazine

26.05.2021 | dotmagazine
Interfaces, Integration, and Interoperability for AI Tools

28.04.2021 | dotmagazine
Building Blocks for Technical Service 4.0

30.03.2021 | grandcentrix
Service-Meister – How grandcentrix brings Data Science, IoT and the handicraft together

17.03.2021 | dotmagazine
An AI-based Service Ecosystem for Industry 4.0

03.03.2021 | dotmagazine
Turning Customer Concerns into Supplier Interests: Using AI to Create a Service Ecosystem

03.02.2021 | dotmagazine
The Open Source Curriculum for Corporate Training on AI and Digitalization

02.02.2021 | Medium
preview of the Springer book “Monetization of Technical Data — Innovations from Industry and Research” by senseering, WZL of RWTH Aachen University and Fraunhofer FIT, which will be published by SpringerVieweg from the end of 2021.

05.08.2020 | dotmagazine
AI meets Distributed Ledger: Building Marketplaces, Sharing Data, and Breaking Silos

01.07.2020 | dotmagazine
Trusting in AI: Why Algorithms Have to Explain Themselves

19.02.2020 | dotmagazine
Humans and Machines: Harnessing the Benefits of AIOctober 2019 | dotmagazine

The Engine and Drivers of Digital Transformation

October 2019 | dotmagazine
The Engine and Drivers of Digital Transformation

April 2019 | dotmagazine
AI: Changing the Game for Good

April 2019 | dotmagazine
Using Artificial Intelligence to Create a Service Ecosystem for Technical Service in the Age of Industry 4.0

April 2019 | dotmagazine
Applying and Perfecting AI Applications for Industrial Use Cases


Scientific Publications

Oct 2022 | KIT
Untapping Analytical Synergies in Industrial SME Ecosystems: An Empirical Evaluation of Federated Machine Learning (Under Review)

Jan 2022 | KIT
What Fits Tim Might Not Fit Tom: Exploring the Impact of User Characteristics on Users’ Experience with Conversational Interaction Modalities

Nov 2021 | KIT
Industrial Corporation’s Transformation into a Digital Platform Provider: A Case Study on Enablers

Oct 2021 | KIT
Co-Creating Value in B2B Platform Ecosystems–Towards a Deeper Understanding of the Emergence and Nature of Actor Engagement

Oct 2021 | KIT
Opening the Black Box of Digital B2B Co-Creation Platforms: A Taxonomy

Oct 2021 | KIT
User-specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research

Sept 2021 | KIT
User-specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research

Sept 2021 | KIT
Opening the Black Box of Digital B2B Co-Creation Platforms: A Taxonomy

Sept 2021 | KIT
Co-Creating Value in B2B Platform Ecosystems – Towards a Deeper Understanding of the Emergence and Nature of Actor Engagement

Sept 2021 | KIT
Industrial Corporation’s Transformation into a Digital Platform Provider: A Case Study on Enablers

Jan 2021 | KIT
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability

Dec 2020 | KIT
Engineering Industrial Service Systems: Design and Evaluation of System-Oriented Service Delivery

Oct 2020 | KIT
Engineering Industrial Service Systems:Design and Evaluation of System-OrientedService Delivery