Hundreds of petabytes of data are being created by automaker vehicle test fleets during ADAS feature and autonomous vehicle software development, all of which must be tagged, labeled, classified, and validated for accuracy in a cost-efficient and scalable manner to create high-quality training datasets to be used during model and algorithm development stages. Additionally, personally identifiable information (PII) must be anonymized to satisfy compliance requirements defined by European Union’s General Data Protection Regulation (GDPR) or California Consumer Privacy Act (CCPA). These solutions help automakers cost-effectively manage data labeling and anonymization in the AWS cloud through improved automation, tools, and workflows.
AWS Services
Purpose-built cloud products
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Partner Solutions
Software, SaaS, or managed services from AWS Partners
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Total results: 4
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Simcenter Autonomy Data Analysis
Autonomy is a clear direction for our transportation systems, be it mass or personal transit. Physically and virtually evaluating these new vehicles in a live environment ensures rigorous and detailed feedback, giving engineers greater confidence in their design decisions. -
Sama Pro
Sama’s integrated ML-powered platform with human-in-the-loop validation streamlines AI development for quicker time to accuracy – and to market.