Skip to content
AI ConnectPowered by VELENTIS
AI-assisted1 min

Formula 1 Accelerates MarTech Data Operations Using Agentic AI on AWS

Formula 1 collaborated with AWS to build a Data Accelerator, reducing data source onboarding times from up to eight weeks to roughly 40 minutes.

(KI-generiertes Symbolbild: Gemini / AI Connect)

Formula 1 has partnered with AWS to transform its existing MarTech data platform by building a system called the Data Accelerator. This new technical solution relies on agentic AI running on Amazon Bedrock AgentCore to modernize platform operations. Through this architecture, the organization successfully streamlined how it handles incoming data sources. As a direct result, Formula 1 reduced data source onboarding times from up to 8 weeks to about 40 minutes.

In addition to faster onboarding, the implementation automated schema evolution across the system. The deployment also provided Formula 1 with end-to-end observability across its entire fan-engagement data estate. These technical improvements reshape how the motorsport series manages fan interactions. By adopting agentic tools, Formula 1 maintains continuous oversight over its growing data platform.

What this means for you

This implementation shows how agentic workflows can reduce enterprise data integration times from weeks to under an hour. Automating schema updates and establishing full visibility over fan data allows organizations to modernize marketing platforms with minimal operational friction. It provides a concrete reference point for teams evaluating Amazon Bedrock AgentCore for complex data pipelines.

Evidence

Solidly sourced
46/100

  • Formula 1 partnered with AWS to build a system known as the Data Accelerator.

    single source
    Quote

    „Formula 1® partnered with AWS to build the Data Accelerator“

    AWS, Machine Learning

  • The project uses agentic AI on Amazon Bedrock AgentCore to overhaul Formula 1's MarTech data platform.

    single source
    Quote

    „using agentic AI on Amazon Bedrock AgentCore to transform its MarTech data platform.“

    AWS, Machine Learning

  • Formula 1 reduced the timeframe for onboarding data sources from up to 8 weeks down to about 40 minutes.

    single source
    Quote

    „cut data source onboarding from up to 8 weeks to about 40 minutes“

    AWS, Machine Learning

  • The system features automated schema evolution.

    single source
    Quote

    „automated schema evolution“

    AWS, Machine Learning

  • Formula 1 secured complete observability across its fan-engagement data estate.

    single source
    Quote

    „gained end-to-end observability across its fan-engagement data estate.“

    AWS, Machine Learning

Sources

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: August 03, 2026

AI-assistedAI-assisted, editorially reviewed

Sources
1
Verified statements
0 / 5
Evidence score
46Solidly sourced
AI AgentsUse Cases

Want to put this into practice?

We connect you with suitable AI providers from the DACH region, free of charge and without obligation.

What's next?

What does AI really cost?

Honest price ranges for your project, independent, with nothing to sell you.

See prices

Get your team ready (AI Act)

The AI literacy obligation already applies. Baseline training for your team is in development.

To the academy

Find the right provider

Describe your project. We connect you with suitable providers at a fair price.

Start the analysis
Back to AI Radar