Marketing Material
Press Publications:
20.09.2023 | Gaia-X GXFS
Pioneering the Future of Data and AI ecosystems following the Gaia-X concept
June 2023 | IOT USE CASE
KROHNE Messtechnik GmbH: An innovative IIoT platform for data analytics solutions
January 2023 | dotmagazine
From AI to the circular economy: How digital technologies redefine sustainable value creation
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)
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