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Dienstag 25 November computerautomation de sps Have you implemented Time-Sensitive Networking TSN in a real project or seen it make a real difference in your industry? We want to hear from you The TSN A Conference 2026 invites presentations and demos that highlight practical experiences realworld applications and lessons learned from deploying TSN across diverse sectors Whether in manufacturing mobility energy entertainment healthcare or smart infrastructure – we welcome stories of how TSN enables reliable synchronized communication and transforms operations Topics include but are not limited to practical TSN implementations migration from legacy fieldbuses integration into converged network and compute architectures monitoring management and optimization in production systems and demonstrations of TSNenabled products or testbeds Contributions should emphasize handson experience measurable outcomes and transferable insights Please submit an abstract 500 words describing your application approach and key takeaways For submission guidelines deadlines and more information visit www tsnaconference de We look forward to your contribution 11 TSN A Conference – Summit on Converged Networks Compute and Applications • September 30 – October 1 2026 • Mövenpick Hotel Stuttgart Messe Kongress 3Messe Aktuell WE CREATE MOTION Kompakte FAULHABER Kleinstantriebe ermöglichen humanoiden Roboterhänden feinfühlige Bewegungen die es in Präzision und Geschwindigkeit mit ihrem menschlichen Vorbild aufnehmen können www faulhaber com humanoidrobotics de Antriebssysteme für Humanoide Robotik FAULHABER Applikationen Nürnberg 25 – 27 11 2025 Halle 4 Stand 346 Firstly the aim is to make industrial knowledge usable for AI across different sectors Combining data from various sectors offers significant potential for training large foundational models Secondly the initiative promotes collaboration within industryspecific data spaces to further develop foundational models incorporating industry knowledge These models can then be optimised by participating companies to create companyspecific ´Industrial AI‘ models Thirdly Manufacturing-Xaims to provide access to the necessary infrastructure and base software and middleware for processing data and training respective models by connecting to other initiatives such as 8RA IPCEI-CIS IPCEI-AI What specific use cases for AI do you anticipate? In addition to the aforementioned Manufacturing-Xfoundations work is underway on the ‘AIasa-Service AIaaS ’ use case This involves making AI models available to companies via the data space This means that AI models can be used in industrial environments without each company having to develop its own AI solutions from scratch The data space provides a trusted framework in which companies can share AI models and required data without losing their digital sovereignty AIaaS is an important component of the Manufacturing-Xvision to make artificial intelligence widely usable and bring the benefits of AI into industrial practice How important are open data spaces for successfully deploying AI in mechanical engineering? Open data spaces are essential for successfully deploying AI in mechanical engineering This is because AI applications require large amounts of relevant contextspecific data in order to function reliably This data often does not come solely from the company itself but also from partners customers and suppliers throughout the entire value chain Open data spaces enable such data to be exchanged securely in a controlled manner and in an interoperable way thereby providing the foundation for many industrial AI applications Akey advantage of open data spaces lies in data sovereignty companies retain control over who can access their data and for what purpose At the same time they foster trust between those involved by providing transparent rules for data exchange and technical standards for security and traceability This is especially important in mechanical engineering where sensitive production and operational data are involved Moreover open data spaces enable the scaling of AI solutions Instead of isolated standalone solutions datadriven applications can be used and further developed across company boundaries Examples include predictive maintenance quality monitoring and adaptive production control Lastly open data spaces foster innovation by laying the foundation for new databased business models such as AIassisted systems and intelligent services for machines and plants Without this infrastructure many AI projects remain at the prototype stage failing to deliver longterm benefits How does Manufacturing-Xposition itself in this context compared to international initiatives such as Gaia-Xor Catena-X? Manufacturing-Xis a crossindustry initiative that aims to implement trusted data spaces in industry particularly in the field of mechanical engineering and among SMEs In contrast to Gaia-Xwhich defines the technical and organizational foundations for data spaces as a European framework for digital sovereignty and Catena-Xwhich implements these principles specifically for the automotive industry Manufacturing-Xaims to create a scalable and interoperable data ecosystem for the entire manufacturing industry By doing this Manufacturing-Xdraws on the infrastructure concepts of Gaia-Xthe operational experience of Catena-Xand the technical standards of the International Data Spaces Association IDSA The IDSA provides the IDS-RAM IDSA Reference Architecture Model which serves as the basis for secure and sovereign data exchange – a key building block for implementing Manufacturing-X This creates an ecosystem that facilitates the reliable exchange of industrial data while meeting the requirements for data protection interoperability and scalability Overall Manufacturing-Xis not in competition with Gaia-X Catena-Xor IDSA Rather it is a strategic extension that transfers their concepts into broad industrial practice Hall 3 Booth 329 Continued from front page TSN A Conference 2026 – Call for Submissions Im ag e 12 3r f c om f or yo u1 3