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. Additionally, data-driven development requires data analysis capabilities, as information needs to be analyzed and interpreted to make meaningful decisions. Finally, data-driven development requires collaboration between stakeholders and technical teams to ensure that data is being used appropriately. In close collaboration with Red Hat and NVIDIA, IBM will deliver fully integrated systems that bring AI-powered computing to everywhere data is created, from the edge to the cloud, helping businesses easily deploy tailored AI applications to drive innovation. This presentation examines how to best leverage AI-powered data infrastructures and software to accelerate AV development and achieve maximum efficiency.
Session:
Data Science & AI
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| 14:40 - 15:10