Frank Kraemer

Frank is an IBM systems architect for large-scale IT solutions. He has a very good understanding of data management for autonomous driving (AD) and AI in the automotive industry. He is responsible for helping to drive global automotive industry enterprise data strategy and focused on establishing areas of application for the Red Hat OpenShift, full-stack and software-defined computing platform used in areas of deep learning, data science and artificial intelligence.

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Presentation

AI for ADAS/AD needs a solid data platform

From ChatGPT to generative world models for autonomous driving (AD), data for AI model training must be high performance, flexible and scalable. Data helps AI models identify and extract meaningful features from input data. The quality and depth of training data significantly affects the success of AI models. Training data provides examples and relevant information for AI models to learn from. This presentation will discuss AI-powered computing for AV development, data-driven development, and ways to accelerate AV development.