Model-Based Systems Engineering (MBSE) is a critical discipline for managing complexity in modern engineering projects and programs. With rapid advancements in Artificial Intelligence (AI), MBSE is undergoing a transformation that promises to enhance system modeling, analysis, and decision-making processes - unlocking new levels of productivity.
In this webinar, we’ll explore the intersection of AI and MBSE by illustrating how AI technologies are being integrated into MBSE workflows and how they are redefining the future of systems and software engineering, leading to improved efficiency, accuracy, and collaboration. 

Key Takeaways

• Understanding the evolving role of AI in enhancing MBSE practices and workflows
• Real-world examples showcasing AI-powered automation in requirements management – deriving use cases and authors
• How AI can accelerate design iterations and improve system quality through predictive analytics and intelligent recommendations

Why Attend
This webinar empowers systems engineers, architects, and project leaders to explore and leverage AI-driven innovations in MBSE, to maintain their competitive advantage in complex systems development. Attendees will learn about state-of-the-art AI tools and methodologies reshaping MBSE.