Dogukan Sonmez is the AI Project Lead at the BMW Research Department. He has 15+ years of industry experience in the domains of AI/ML, big data, and software engineering. He joined BMW in 2017 in the division for Autonomous Driving. He has worked on various projects, ranging from developing scalable image processing solutions to building an MLOps ecosystem for the autonomous driving project. Since 2021, he has been working on research projects to develop advanced AI/ML solutions and transform businesses to be data-driven with next-gen AI applications.
Case Study
Monday, December 01
11:50 am - 12:15 pm
Live in Berlin
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As generative AI expands beyond text, its applications in SDVs are redefining how machines interact with the physical world. This session explores the use of generative models in handling 3D models, sensor streams, and domain-specific data within the context of software defined systems. Attendees will gain insights into the adaptation of generative AI for non-language inputs, the unique challenges of physical deployment, and the skills required to transition from language-based AI development. Discover how these innovations are unlocking new possibilities in the design, testing, and operation of software defined vehicles.
In this presentation, you will learn: