Customer Stories / Media & Entertainment / United Kingdom

2018
Formula 1 logo

Formula 1 Case Study

Formula One Companies (Formula 1) is moving the vast majority of its infrastructure from on-premises data centers to AWS, and standardizing on AWS's machine-learning and data-analytics services to accelerate its cloud transformation. Formula 1 will work with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services.  

Overview

Formula One Companies (Formula 1) is responsible for the promotion of the FIA Formula One World Championship, a series of auto racing events in 21 countries where professional drivers race single-seat cars on custom tracks or through city courses in pursuit of the World Championship title. Formula 1 racing has more than 500 million global fans and generated $1.8 billion in total revenue in 2017.

Formula 1 race track

Opportunity

To accelerate its cloud transformation, Formula 1 is moving the vast majority of its infrastructure from on-premises data centers to AWS and standardizing on AWS’s machine-learning and data-analytics services. Formula 1 will work with AWS to enhance its race strategies, data tracking systems, and digital broadcasts through a wide variety of AWS services—including Amazon SageMaker, AWS Lambda, AWS's event-driven serverless computing service, and AWS analytics services—to deliver new race metrics that will change the way fans and teams experience racing.

kr_quotemark

For our needs, AWS outperforms all other cloud providers, in speed, scalability, reliability, global reach, partner community, and breadth and depth of cloud services available."

Pete Samara
Director of Innovation and Digital Technology, Formula 1

Outcome | AWS Fuels Analytics Through Machine Learning

Formula 1 is a data-driven sport: During each race, 120 sensors on each car generate 3 GB of data, and 1,500 data points are generated each second. Using Amazon SageMaker, Formula 1’s data scientists are training deep-learning models with 65 years of historical race data to extract critical race performance statistics, make race predictions, and give fans insight into the split-second decisions and strategies adopted by teams and drivers.

By streaming real-time race data to AWS using Amazon Kinesis, Formula 1 can capture and process key performance data for each car during every twist and turn of the Formula 1 circuits. Then, by deploying advanced machine learning via Amazon SageMaker, Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit. By sharing these insights through television broadcasts and digital platforms, Formula 1 allows fans access to the inner workings of their favorite teams and drivers. Formula 1 has also selected AWS Elemental Media Services to power its video asset workflows.

“For our needs, AWS outperforms all other cloud providers, in speed, scalability, reliability, global reach, partner community, and breadth and depth of cloud services available,” said Pete Samara, director of innovation and digital technology at Formula 1. “By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time. We are also excited that the Formula 1 Motorsports division will run high-performance compute workloads in a scalable environment on AWS. This will significantly increase the number and quality of the simulations our aerodynamics team can run as we work to develop the new car design rules for Formula 1.”

About Formula 1

Formula One Companies (Formula 1) is responsible for the promotion of the FIA Formula One World Championship, a series of auto racing events in 21 countries.

AWS Service Used

Amazon Kinesis

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.

Learn more » 

More Media & Entertainment Customer Stories

Showing results: 1-4
Total results: 370

no items found 

  • India

    Arré Voice Enhances User Engagement and Reduces Latency by 90% with DataStax Astra DB and AWS

    Arré Voice wanted to enhance user engagement on its digital media platform with personalized content recommendations. The company needed a scalable solution capable of processing large volumes of user data while supporting artificial intelligence (AI)-driven algorithms for content personalization. By transitioning to a microservices architecture, using Amazon Web Services (AWS), and implementing Astra DB, a vector database from AWS Partner DataStax, Arré Voice enabled real-time data handling and improved operational efficiency. Astra DB’s query capabilities and developer tools facilitated the rapid development of its recommendation engine, which now generates over 30 million personalized suggestions per month with a 90-percent reduction in latency.

    2025
  • United States

    AWS Partner Loka Helps Cameo Enhance Personalized Celebrity Video Discovery

    Cameo, an online marketplace connecting fans with over 50,000 celebrities for personalized video messages, teamed up with AWS Partner Loka to develop a chat-based discovery process using generative AI. This solution aims to provide a more personalized and efficient experience by engaging users in conversation to understand their needs and preferences, then recommending relevant categories and celebrities. The solution leverages Claude on AWS Bedrock to improves conversion rates, reduce time to purchase, and increase customer satisfaction by streamlining the discovery process.

    2025
  • United Kingdom

    Norstella on AWS

    Norstella’s mission as a pharmaceutical intelligence specialist is to transform lives by helping its clients accelerate drug development and time to market.
    2024
  • Belgium

    Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability

    Ladbrokes.live, a provider of streaming sports entertainment content operating in Belgium, was grappling with critical challenges that hindered their ability to attract and retain users. Partnering with AWS Partner, Cloudar—also based in Belgium—the company transitioned to a cloud-native architecture powered by Amazon Web Services (AWS) technologies. This transformation enabled Ladbrokes.live to deliver a seamless, personalized user experience featuring avatars that can be customized to deliver information and statistics relevant to the viewers’ interests, in their language of choice. The solution also helped Ladbrokes.live optimize operational costs and set the stage for continuous innovation in a highly competitive industry.

    2025
1 93

Get Started

Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.