From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.

Originaltext der Quelle (nicht übersetzt) – die deutsche Zusammenfassung findest du im Tab „Kurzfassung".

Formula 1® (F1) engages an audience of over 800 million fans globally across digital platforms, F1 TV, social media, ticketing, and merchandise year-round. Races happen every two weeks. Fan engagement windows are measured in minutes and commercial decisions need to move at the speed of the grid. Behind the scenes, F1’s marketing technology (MarTech) platform, Customer 360, captures interactions across all of these touchpoints to power personalization, segmentation, and commercial strategy. However, the platform faced a significant operational challenge. According to Chris Roberts, Director of IT at Formula 1, “Our MarTech platform is the nervous system of F1’s fan engagement. But every new data source required 6 to 8 weeks of manual engineering. We had an 18-month backlog just to integrate 12 new sources.” The business was generating data faster than the engineering team could wire it up. As a result, Matt Kemp, F1 Head of Data Operations, set to improve efficiencies and data quality. “Manually ingesting data sources is time consuming, creates solution variances, and ultimately results in data integrity issues. I wanted a solution that was repeatable, robust and reliable. AWS worked backwards from our needs to implement an agentic solution that worked end to end, applying business logic at each step.” In early 2026, F1 and AWS worked together to build the Data Accelerator, a solution that uses agentic AI on Amazon Bedrock AgentCore to transform F1’s MarTech data platform from a manually maintained system into a self-managed, observable, and unified data estate. In this …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://aws.amazon.com/blogs/machine-learning/from-weeks-to-minutes-how-formula-1-uses-agentic-ai-on-aws-to-accelerate-data-operations/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.