Build AI-driven policy creation for vehicle data collection and automation using Amazon Bedrock
Machine Learning Blog
This article discusses how Sonatus, in partnership with AWS, developed an AI-driven system for creating vehicle data collection and automation policies using Amazon Bedrock.
- Addresses challenges in generating vehicle data policies manually
- Uses a chain of large language models to generate policies from natural language input
- Key features include: • Entity extraction from user queries • Signal translation using Vehicle Signal Specification (VSS) • Multi-agent approach for parameter generation • Context-driven policy creation
- Aims to reduce policy generation time from days to minutes
- Enables non-engineers to create complex vehicle data policies
The solution leverages generative AI to simplify and accelerate vehicle policy creation, making it more accessible and efficient for automotive manufacturers.
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