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.

Guidance

Prescriptive architectural diagrams, sample code, and technical content

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