{"@context":"https://schema.org","@type":"NewsArticle","contentId":"0000016d-8d24-da43-a3ef-fd65ce360002","url":"https://www.aboutamazon.co.uk/news/aws/insights-powered-by-aws-help-to-improve-formula-1-viewing-experience","headline":"Insights powered by AWS help to improve Formula 1 viewing experience","description":"More than half a billion Formula 1 fans around the world will benefit from the new ‘Battle Forecast’ on-screen graphic – powered by Amazon Web Services (AWS).","datePublished":"2019-10-18T13:01:51.828Z","dateModified":"2019-10-18T13:01:51.828Z","author":[{"@type":"Person","name":"Amazon staff"}],"image":{"@type":"ImageObject","url":"https://assets.aboutamazon.com/dims4/default/0c0e228/2147483647/strip/true/crop/480x240+0+60/resize/1200x600!/quality/90/?url=https%3A%2F%2Fi.ytimg.com%2Fvi%2FKT2bHdks9jQ%2Fhqdefault.jpg","width":"1200","height":"600"},"articleBody":"# Insights powered by AWS help to improve Formula 1 viewing experience\n\n*More than half a billion Formula 1 fans around the world will benefit from the new ‘Battle Forecast’ on-screen graphic – powered by Amazon Web Services (AWS).*\n\nFormula 1 racing has unveiled a new on-screen graphic called the ‘Battle Forecast’, [the latest in the series of F1 Insights](https://aws.amazon.com/f1insights/) powered by [AWS](https://aws.amazon.com/).\n\nWith 120 sensors on each car generating more than 1,500 individual pieces of race information per second, Formula 1 is a truly data-driven sport where much of the thrill comes from exciting details on performance statistics.\n\nThe ‘Battle Forecast’ graphic uses AWS’s [machine learning](https://aws.amazon.com/machine-learning/) and [data analytics](https://aws.amazon.com/retail/data-analytics/) to give the audience unique insights into driver battles as they develop during the race.\n\nA huge range of data sources are gathered to build the graphic, including information about live race times, tyre compounds, weather, pit stops and historical data about battles and outcomes of attempted overtakes.\n\nAs the chasing car gets within striking distance, the graphic will display an ‘overtake difficulty’ rating, helping fans understand the likelihood of the chase concluding in a successful overtake. It all helps build anticipation for some of the most exciting action in a Formula 1 race.\n\nWorking together, these data sources build new insights in an engaging and digestible format. The information is delivered direct to broadcasters via the Formula 1 International Feed, enabling commentators to share detailed analysis as the action unfolds – and giving them advance notice that an overtake is about to happen.\n\nFormula 1 has been using AWS to run high-performance compute workloads in a scalable environment.\n\nThis enables Formula 1 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.\n\n65 years of historical race data are stored in Amazon Simple Storage Service (Amazon S3), an object storage service that offers industry-leading scalability, data availability, security and performance. Formula 1 data scientists have also trained deep learning models using [Amazon SageMaker](https://aws.amazon.com/sagemaker/) to power insights by capturing and delivering data.\n\nVisit the [F1 Insights](https://aws.amazon.com/f1insights/)page for more information on how Formula 1 is using AWS analytics and machine learning.","publisher":{"@type":"Organization","name":"About Amazon","url":"https://www.aboutamazon.com","sameAs":["https://x.com/amazonnews","https://www.linkedin.com/company/amazon","https://www.instagram.com/amazonnews"],"logo":{"@type":"ImageObject","url":"https://assets.aboutamazon.com/bd/8f/88e7b0314cc2bd05b9de3155a0fe/amazon-news.svg"},"parentOrganization":{"@type":"Organization","name":"Amazon","url":"https://www.amazon.com","sameAs":["https://www.wikidata.org/wiki/Q3884","https://en.wikipedia.org/wiki/Amazon_(company)","https://x.com/Amazon"]}}}