Date: | 02 March 2027, 14:00 – 15:15 (CET) | Price: | Free (for eligible participants) | |
Format: | AI:AT Training, ONLINE (Zoom) | Target audience: | Industry, public admin, academia | |
Language: | English | Organizer: | AI:AT |
Are you struggling with scattered data silos in your industrial AI applications? Discover in this compact webinar how to efficiently integrate data using technologies such as the Asset Administration Shell (AAS) and OPC UA, and build scalable AI solutions – like predictive maintenance or machine chatbots.
The basis for most modern AI applications is a sufficient amount of high-quality data. Especially in a manufacturing context, however, this data is often scattered across a vast amount of distributed, unconnected, and heterogeneous data silos.
In this 1-hour webinar, you will learn how to efficiently make this data usable for your AI models using digital twins. We will highlight how technologies such as the Asset Administration Shell (AAS) and OPC UA can be used to build a common data layer as a virtual representation of your physical assets..
Using two practical demonstrations, we will show you concrete applications:
- Use Case 1 (Machine Chatbot): An AI assistant that interacts with machine documentation. We will show how the system automatically associates the correct documents and live data (via AAS and OPC UA).
- Use Case 2 (Predictive Maintenance): A service for predicting equipment failures. You will see how combining live data and maintenance plans from different machines creates a scalable solution.
Learning Outcomes:
After attending this webinar, you will be able to
- understand challenges associated with scaling AI solutions to whole manufacturing sites
- efficiently integrate data from different data silos into your AI applications
- be inspired and equipped with the theoretical foundation to initiate use cases like machine chatbots and predictive maintenance within your own organization.
Agenda
14:00 | Introduction to AI:AT |
14:05 | The Problem: Data silos prevent us from scaling AI solutions in manufacturing |
14:20 | The Solution: Data continuity and semantic interoperability with ECLASS, AAS, and OPC UA |
14:40 | Demonstration Use Case 1: Machine Chatbot |
14:50 | Demonstration Use Case 2: Predictive Maintenance |
15:00 | Q&A |
15:15 | End |
Target audience
Heads of development, innovation managers, project managers, and business executives who want to leverage scalable AI applications in their manufacturing environment.
This webinar is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
None - we will start with the basics and introduce all topics from the ground up. In particular, no programming skills are required.
Speaker
Daniel Lehner (AI Factory Austria AI:AT)
Dr. Daniel Lehner works as expert in AI knowledge transfer at AI Factory Austria AI:AT. He also works as a consultant and trainer at TwinTech, helping companies to efficiently exploit the potential of digitalization through the use of artificial intelligence and digital twins. In addition to his work with various companies, he also draws on his many years of experience in researching digital twins and artificial intelligence at Johannes Kepler University in Linz.
Paulo Ferreira (D&TS GmbH)
Paulo Ferreira is the managing director of D&TS GmbH, an internationally active software and consulting firm headquartered in Schwelm. He has many years of experience in the areas of master data management (MDM), classification, and the digitization of industrial processes. Drawing on his expertise, he drives the development of innovative, AI-powered solutions designed to sustainably improve data quality. In his work, he places particular emphasis on trust, transparency, quality, and a collaborative partnership with customers.
Location
This course is offered as LIVE ONLINE WEBINAR via Zoom.
Registration
Registration is required, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.
You will get the Zoom link in the automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders). We will also send 1–2 reminders before the webinar.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Modification, withdrawal & no-show policy
Your registration is binding. Please only register for the course if you are really going to attend.
You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").
Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@ai-at.eu).
No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.
Organizers
This webinar is organized by AI Factory Austria AI:AT.
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).