Companies involved in the development of autonomous vehicles need a single repository to store data in support of the autonomous development lifecycle. With Data Management, Processing & Analytics solutions, pipelines are created to perform analytics, cataloging, and ETL functions to prepare the data for labeling, machine learning, and simulation. These solutions give companies a flexible and scalable data flywheel, in which categorized data continues to feed workloads that become increasingly iterative with each stage, optimizing model development, simulation, testing, and validation.


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