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← AI PulseAug 3, 2026

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Formula 1 Uses Agentic AI on AWS to Accelerate Data Operations

Formula 1 partnered with AWS to develop the Data Accelerator, leveraging agentic AI on Amazon Bedrock AgentCore to streamline its MarTech data platform.

By Illumora Editorial

Source · Aug 3, 2026, 5:24 PM · On Illumora · Aug 3, 2026, 5:27 PM

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Read the source →AWS Machine Learning Blog — From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations | Amazon Web Services
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Formula 1 (F1) collaborated with AWS to create the Data Accelerator, a system that employs agentic AI on Amazon Bedrock AgentCore to enhance its MarTech data platform. This initiative has reduced the time required for data source onboarding from up to 8 weeks to approximately 40 minutes.

Key Points

  • Formula 1 partnered with AWS to build the Data Accelerator.
  • The Data Accelerator uses agentic AI on Amazon Bedrock AgentCore.
  • The system transformed F1's MarTech data platform.
  • Data source onboarding time was reduced from up to 8 weeks to about 40 minutes.
  • The solution automated schema evolution.
  • End-to-end observability was gained across F1's fan-engagement data estate.

Context

According to the AWS Machine Learning Blog, the collaboration between Formula 1 and AWS focused on improving data operations within F1's MarTech data platform. The implementation of agentic AI through Amazon Bedrock AgentCore was central to achieving these operational efficiencies. The project aimed to address challenges related to data source onboarding and schema management, as well as to enhance visibility into the data estate.

Why It Matters

This development demonstrates how agentic AI can significantly reduce operational timelines and automate complex data management tasks. Builders can observe a practical application of Amazon Bedrock AgentCore in transforming a MarTech data platform, highlighting its potential for similar enterprise data challenges.

What To Do

  • Note the reported reduction in data source onboarding time from 8 weeks to 40 minutes.
  • Observe the specific use of Amazon Bedrock AgentCore for agentic AI implementation.
  • Consider how automated schema evolution could apply to your own data operations.
  • Watch for further details on how end-to-end observability was achieved within the fan-engagement data estate.