Zadar Labs, Inc. in collaboration with Xilinx, Inc. to develop and leverage its 4D radar deep learning processor unit (DPU). Zadar's unique approach of developing an end-to-end Software-Defined Imaging Radar (SDIR) platform generates the high-quality point clouds needed to build the training dataset for deep learning algorithms. Zadar and Xilinx have identified a gap in the market when it comes to imaging radar. Having better data is only part of the solution. Data intelligence and insights are needed to truly advance radar performance. Other mainstream sensor modalities, such as camera and Lidar, have an ecosystem of artificial intelligence (AI) and machine learning (ML) approaches that best suit their respective data types. However, these established techniques do not readily lend themselves to imaging radar. The depth and quality of the imaging point cloud provide not only detection location, but velocity as well as signal-to-noise ratio and the power of the reflection. Zadar's SDIR solution takes this one step further by including additional detection characteristics. Fundamentally, new AI and ML techniques are required to bring out the untapped potential of imaging radar.