Speaker Details

Speaker Company

Frank Kraemer

Frank is responsible for helping to drive global automotive industry enterprise data strategy. He is focused on establishing areas of application for the Red Hat OpenShift, the full-stack and software-defined computing platform used in areas of deep learning, data science and artificial intelligence. Specifically, he has been working on technologies related to autonomous vehicles, including HPC, AI/deep learning, data factory, validation, simulation, replay, synthetic data generation as well as GenAI/LLM, connected everything, smart mobility, digital twins and cloud computing.


Accelerate AV development with data-driven automotive AI

Developing AVs is a time-intensive and complex process that requires best-in-class data and AI training infrastructure. Companies developing software-defined vehicles need to accelerate time-to-market and minimize costs without sacrificing safety. Combining vehicle sensors, map data, telematics and navigation guidance using machine learning and data fusion techniques, data-driven development is not without its challenges. One of the biggest challenges is data collection and integrity, as data needs to be collected accurately and consistently to drive accurate decisions.