Wed 4 Oct 2023 11:00 - 11:20 at 302 - Session 1: AI
One of the key challenges in adopting a MBSE approach in industry is how to intuitively exploit system engineering knowledge expressed through descriptive models by different stakeholders. This talk presents a virtual assistant named IBIS in assisting system engineers to perform such activities over SysML models and data in multi-modal manner through text, speech or VR. Development of an underlying system engineering ontology, SysML model transformation, training a domain specific language model and query techniques are presented along with its implementation in the RASA framework based toolchain. Results of two different case studies are briefly discussed followed by lessons learnt, challenges and possible avenues of future work.
Wed 4 OctDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Wed 4 Oct
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
| 10:30 - 12:00 | |||
| 10:3010m Day opening | Welcome to Industry Day 2023 Industry Day Alessio Bucaioni Malardalen University, Ludovico Iovino Gran Sasso Science Institute, L'Aquila, Italy | ||
| 10:4020m Talk | Toward AI Enabled Enterprise Industry Day Vinay Kulkarni Tata Consultancy Services Research | ||
| 11:0020m Talk | Virtual Assistants for MBSE Industry Day Sangeeth Saagar Ponnusamy Airbus | ||
| 11:2020m Talk | Integrating AI into Model-Based Development: Enhancing System and Software Engineering Techniques Industry Day Axel Terfloth itemis AG | ||
| 11:4020m Panel | Panel and questions Industry Day | ||