Unlocking Automotive AI Use-Cases with Multi-Agent Generative AI Systems

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Presented by

Eugene Kniazev, SODA.Auto (Software Defined Auto)

About this talk

This webinar will explore how Multi-Agent Generative Systems (MAGS) are transforming the automotive industry. Eugene will discuss the integration of MAGS with digital twin technology and software-defined vehicle approaches, showcasing how this combination creates an intelligent ecosystem for innovation throughout the entire automotive lifecycle. The presentation will look at the main advantages of MAGS and how it differs from traditional AI approaches. Eugene will provide examples of how MAGS can improve everyday processes in industries beyond automotive. WHAT WILL BE COVERED - AI's potential in complex systems - Applying AI to enhance safety, efficiency, and decision-making in high-stakes environments - The impact of AI on autonomous systems and predictive analytics - Navigating regulatory landscapes - Potential applications of MAGS in the next 5-10 years. WHO SHOULD ATTEND • Technologists and business executives across industries, committed to digital twins and taking their operational efficiency to the next level. • Technologists and business executives interested in learning more about Gen AI for autonomous vehicle implementations, digital engineering, 3d modeling and simulation, and how they realize value. • Anyone interested in digital engineering or digital twins.
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Digital Twin Consortium® executes on the promise of digital twins and associated technologies by working closely with our members to accelerate the market. We do this by fostering development, raising awareness, increasing adoption, and improving the interoperability of digital engineering projects propelled by digital twins. DTC is a program of Object Management Group®. For more information, please visit digitaltwinconsortium.org.