Formula 1 automates data management with AI agents on AWS
Formula 1 and AWS have developed the Data Accelerator platform, which uses agentic AI on Amazon Bedrock AgentCore to automate the management of fan data.

What happened?
Formula 1 has worked with Amazon Web Services (AWS) to develop a data platform called Data Accelerator. The system uses agentic AI via Amazon Bedrock AgentCore to automate the integration of new data sources and manage schemas within its marketing technology (MarTech) stack. According to AWS, the time taken to connect a new data source has been reduced from up to eight weeks to approximately 40 minutes.
Key facts
| Integrationstid för datakällor | Minskad från 8 veckor till ca 40 minuter |
|---|---|
| Teknisk plattform | Amazon Bedrock AgentCore på AWS |
| Systemets namn | Data Accelerator |
Why it matters
Automating data integration and schema evolution reduces the manual workload for data engineers when managing complex data streams. It provides the organisation with faster access to analysed fan data and full end-to-end observability across the data infrastructure.
Who is affected?
The solution primarily impacts internal data engineers and marketing teams within Formula 1 who manage fan engagement and supporter data. It is also relevant for companies and developers building large-scale data platforms on AWS.
Impact on the EU
AWS has presented the solution on its global blog. The source material contains no details regarding specific EU adaptations, GDPR compliance, or regional restrictions for the solution.
What else you should know
Amazon Bedrock AgentCore forms the core of the solution, managing the orchestration and automation of data streams. The platform is designed to process and structure large volumes of fan data from various digital touchpoints.
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