We'll showcase how Mercedes-Benz is enabling edge AI in the car by utilizing powerful embedded hardware for sensor processing and fusion in the cabin interior. The focus of AI work today has been dominated by the cloud environment. The availability of computation power, combined with technologies for scaling with massive datasets, makes the cloud a perfect ecosystem for the application of AI technologies. However, there are a myriad of AI applications today that can’t fully live on the cloud, such as an AI application in a moving vehicle where connectivity to the cloud is not guaranteed. In such cases, AI in the edge computing space faces a number of challenges not always present in today's cloud environment. Chief among them is a sense of autonomy: when the edge AI encounters problems that require prompt decision making, the problems have to be resolved by its own intelligence. We’ll talk about how Mercedes-Benz is enabling edge AI to address this issue.