Accelerate Autonomous Vehicle (AD) 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.