Prof. Dr.-Ing. Ahmed Ebada Professor of Informatics and Artificial Intelligence | Senior Product Manager, BMW | Founder & CEO, HOPn UG Prof. Dr.-Ing. Ahmed Ebada is a leading expert in Artificial Intelligence, Digital Twins, and Data-Driven Engineering Systems. As a Senior Product Manager at BMW, he leads the development of scalable digital twin architectures and AI-integrated platforms supporting automation, compliance, and real-time analytics across the automotive lifecycle. In parallel, he is the Founder and CEO of HOPn UG, a technology and AI innovation company focused on smart systems, EdTech, and digital transformation solutions. His research and industry projects explore how intelligent systems and generative AI can transform complex industrial ecosystems into adaptive, self-learning environments. Prof. Ebada’s work bridges academia and industry, bringing practical innovation and strategic vision to the forefront of AI-driven product development and digital transformation.
At BMW, every car has a story - from production to end-of-life. Ahmed leads efforts to capture and orchestrate that story through modular digital twins, designed to power internal use cases across compliance, automation, battery tracking, and real-time monitoring. From a proprietary digital twin platform that integrates AI workflows, to use cases spanning regulatory readiness and software update diagnostics, this session explores how BMW is operationalising its data infrastructure - turning every vehicle into a living, evolving data product.
• Building scalable digital twin architecture from production to post-lifecycle automation
• Embedding AI across quality checks, compliance, battery tracking and software monitoring
• Designing modular data products for internal teams to self-serve and scale use cases
Check out the incredible speaker line-up to see who will be joining Ahmed.
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