| Start date: | 19 November 2026, 09:00 (CEST) | Entry level: | Basic | |
| End date: | 19 November 2026, 12:30 (CEST) | Subject area: | Artificial Intelligence (AI) | |
| Location: | ONLINE (Zoom) | Topics: | AI Management, ROI Analysis | |
| Language: | English | Target audience: | Managers | |
| Price: | Free (for eligible participants) | Organizer: | AI:AT |
Many companies that try to keep up with AI end up losing a lot of money along the way.
In this workshop, you discover how to perform a Return-on-Investment (ROI) analysis specifically for AI projects, in order to invest into the right projects. Based on specifici examples, you unveil relevant cost factors when investing into AI, and how they influence your strategy whether to make an AI project in-house, buy external software, or leave it be from the beginning.
In hands-on working sessions, participants apply the explored techniques on their own real-world examples.
The content builds on the previous workshop “Make it, buy it, or leave it Strategies for efficient AI adoption” but can be understood completely on its own.
Learning Outcomes: After attending this course, you will be able to
- Analyze whether an AI project pays off for your business
- Estimate cost factors for self-developed or outsourced AI projects
Agenda & Content
| 08:50 | Zoom Meeting opens |
| 09:00 | Introduction and Example ROI analysis in the context of AI projects |
| 10:30 | Break and Q&A |
| 11:00 | Hands-on Exercise on ROI Analysis |
| 11:45 | Discussion of exercise results, Q&A and wrap-up |
| 12:30 | End of course |
Target audience, eligibility & prices
High-level managers, project managers and product managers that have to argue about the projected return of their AI investment
Entry level & prerequisites
Basic - no previous experience required. It would be helpful for the group exercises if you prepare a specific AI project that you want to work on.
Lecturer
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.
Registration
Registration is required, the registration form can be found on 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 an automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.
Following your successful registration, you will receive further information a few days before the course.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Waitinglist
After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email (training@ai-at.eu) stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).
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 course 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).
