{"id":17648,"date":"2022-05-04T05:13:51","date_gmt":"2022-05-04T05:13:51","guid":{"rendered":"https:\/\/proskillssaudi.com\/?p=17648"},"modified":"2022-05-04T05:13:51","modified_gmt":"2022-05-04T05:13:51","slug":"how-oracle-red-bull-racing","status":"publish","type":"post","link":"https:\/\/proskillssaudi.com\/pt\/how-oracle-red-bull-racing\/","title":{"rendered":"How Oracle Red Bull Racing\u2019s Hannah Schmitz turns data into high-speed decisions"},"content":{"rendered":"<h1>How Oracle Red Bull Racing\u2019s Hannah Schmitz turns data into high-speed decisions<\/h1>\n<p>In the fast-paced world of Formula One, the job of a race strategist requires remaining calm while helping to make decisions that can make or break a team\u2019s result.<\/p>\n<p>Strategists like Hannah Schmitz must offer recommendations such as when to pit, what tires to use, and how the team\u2019s drivers should work together, all of which factors in to how a driver finishes.<\/p>\n<p>These high-pressure strategy decisions are part of what makes Formula One so exciting to watch. But the thinking\u2014and the calculations\u2014that Schmitz and her teammates put into these in-the-moment calls begin weeks before a race. It\u2019s this high level of preparation that helps strategists earn the drivers\u2019 trust.<\/p>\n<p>\u201cData goes into every decision we make,\u201d Schmitz says. \u201cBefore we even get to the track, our simulations will have what we expect the tires to do, what we think the overtaking will be at that track, and all the paces we\u2019re expecting of our competitors and us. And then when we\u2019re at the track, we can use data to better estimate all those variables. Basically, we\u2019re constantly using the data and refining those models.\u201d<\/p>\n<p>As principal strategy engineer for the Oracle Red Bull Racing F1 team, Schmitz and her teammates analyze key factors by testing billions of scenarios and combinations using Monte Carlo simulations running on\u00a0<a href=\"https:\/\/www.oracle.com\/cloud\/\" target=\"_blank\" rel=\"noopener\">Oracle Cloud Infrastructure (OCI)<\/a>, all to give drivers Max Verstappen and Sergio P\u00e9rez the best chance to stand on the podium.<\/p>\n<p><iframe src=\"https:\/\/www.youtube.com\/embed\/E0VWeG0Q7Lw\" width=\"100%\" height=\"100%\" frameborder=\"0\" data-mce-fragment=\"1\"><\/iframe><\/p>\n<p>\u201cIt\u2019s a key role, sitting trackside on the pit wall, utilizing all the data and information to make decisions about race strategy,\u201d says Christian Horner, team principal and CEO for Oracle Red Bull Racing. \u201cThat role is the linchpin.\u201d<\/p>\n<h3>Career path: Engineer to strategist<\/h3>\n<p>A graduate of the University of Cambridge with a master\u2019s degree in mechanical engineering, Schmitz found her way to Red Bull Racing in 2009 as a student intern. She quickly turned that into a permanent role as a modeling and simulation engineer, then became a core part of Red Bull Racing\u2019s strategy team.<\/p>\n<p>\u201cI worked in vehicle dynamics, at first doing modeling and simulation work, and then after a while, I just felt that I really wanted a more direct connection with racing, and the role came up in strategy,\u201d Schmitz says. \u201cI made the move across to that department, and I\u2019ve been there ever since, nearly 13 years now.\u201d<\/p>\n<p>Schmitz is among the small yet growing group of women with high-ranking roles in F1. She hopes her position gives confidence to the younger generation of female talent looking to break into the business.<\/p>\n<p><center><\/p>\n<table width=\"75%\">\n<tbody>\n<tr>\n<td><big>\u201cEverybody has the same access to the same data, but it\u2019s what you do with that data that gives you the edge.\u201d<\/big><\/td>\n<\/tr>\n<tr>\n<td><cite>\u2014Hannah Schmitz, Principal Strategy Engineer, Oracle Red Bull Racing<\/cite><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/center>\u201cA diverse team is a stronger team,\u201d Schmitz says. \u201cI think to have people of different genders, from different backgrounds and ethnicities, that is really important. Growing up, I didn\u2019t see a lot of women in motorsport, so I really want to help encourage the next generation and say, \u2018Yes, come and do it!\u2019 It\u2019s an amazing job, and I absolutely love it.\u201d<\/p>\n<h3>Planning for F1 success<\/h3>\n<p>In the lead-up to an F1 grand prix, Schmitz and her team create a preview report that looks at all the potential strategies the team might follow on race day. The report incorporates an abundance of data, such as recent race analysis and historical data for a specific track to help predict tire and car performance. They\u2019ll model what happens if there\u2019s a crash at different spots around the track, at different points in the race. They\u2019ll consider the weather forecasts and factor in the odds of light or heavy rain\u2014plus many, many more scenarios and possible outcomes.<\/p>\n<p>By using a modern technology stack on OCI, the team last year was able to increase by 25% the number of Monte Carlo simulations it could run, allowing the team to explore more variables and increase the accuracy of simulations.<\/p>\n<p>Once the team is trackside, Schmitz analyzes data from practice and qualifying races, focusing on variables such as current track conditions, the pace of the car, and tire degradation to further evolve the team\u2019s strategy and map out pit stops. Competitor analysis is another crucial component that helps Oracle Red Bull Racing determine how to navigate rival strategies during a race weekend. As the race unfolds, and these possibilities become reality, strategists continue to quickly model scenarios and offer options that give drivers the best chance to succeed.<\/p>\n<h3>Models on OCI show probability of victory<\/h3>\n<p>While F1 teams have an arsenal of tools and technology to assist with strategy, the teams are bound by regulations set by the F\u00e9d\u00e9ration Internationale de l\u2019Automobile (FIA). For the 2022 season, teams are limited in the time they can spend on trackside modeling and simulation. To manage the time restrictions and spending caps, Oracle Red Bull Racing relies on the power of simulations that they run on OCI.<\/p>\n<figure>\n<p align=\"left\"><img decoding=\"async\" src=\"https:\/\/blogs.oracle.com\/content\/published\/api\/v1.1\/assets\/CONTBC58C8628EFF47748095CDDB63A6E390\/Medium?cb=_cache_2cd9&amp;format=jpg&amp;channelToken=055b6b0fc6e14d9d8ec2cfc921769d16\" alt=\"Oracle Red Bull Racing race strategist standing next to one of the team's vehicles\" width=\"1200\" height=\"675\" \/><strong>For every race, Hannah Schmitz and her teammates analyze key factors such as tires, pace, and overtakes to optimize their strategy against the competition.<\/strong><\/p>\n<\/figure>\n<p>\u201cMonte Carlo simulation is basically a way of using randomness to solve a problem,\u201d says Schmitz. \u201cWe can come up with plots showing us our expected point score based on certain strategies. And you get some nice curves, and you can see where the peak of those points is. And that helps us decide how many stops we\u2019re going to make, and which tires we\u2019re going to fit, and what laps we might want to think about pitting on.\u201d<\/p>\n<p>Using the power and flexibility of\u00a0<a href=\"https:\/\/www.oracle.com\/cloud-native\/container-engine-kubernetes\/\" target=\"_blank\" rel=\"noopener\">Oracle Container Engine for Kubernetes<\/a>\u00a0to containerize the team\u2019s simulation application, and running on Oracle Cloud\u2019s Arm-based virtual servers, the team can scale up its simulation platform while keeping costs within the sport\u2019s tight spending regulations. \u201cUsing Oracle will allow us to run more simulations, look at more things, and have an edge on our competitors,\u201d Schmitz says.<\/p>\n<p>Tire use offers one specific example of a decision facing Schmitz and her teammates. Each F1 team has the same quantity of tires they can use during a race weekend based on regulations, so deciding which tires to fit for each race, and each part of a race, is an enormously crucial strategy decision. The freshness of the tires directly impacts the pace and performance of the car, so getting that right can translate into a boost that helps win a race.<\/p>\n<p>This was evident in the 2019 Brazilian Grand Prix, when Schmitz made a call to pit Verstappen for a third time even though it meant handing the lead to his pursuing rival. It was a risky call, but with a fresh set of tires, Verstappen was able to quickly regain the first-place position and win the penultimate race of the season. In a career highlight, Schmitz joined Verstappen on the victory podium and collected the Constructors trophy for the team.<\/p>\n<p>But no one on the Oracle Red Bull Racing team dwells long on past glories. Schmitz\u2019s competitiveness always has her thinking about the next race, looking for ways she can innovate and use technology such as OCI to give the team an advantage.<\/p>\n<p>\u201cEverybody has the same access to the same data, but it\u2019s what you do with that data that gives you the edge,\u201d she says. \u201cAnd then it\u2019s also about the people and the experience. All of that together is what gives you the edge and helps you be a championship winning team.\u201d<\/p>\n<p>Source:<br \/>\n<a href=\"https:\/\/blogs.oracle.com\/connect\/post\/oracle-red-bull-racing-turns-data-into-decisions\" target=\"_blank\" rel=\"noopener\">https:\/\/blogs.oracle.com\/connect\/post\/oracle-red-bull-racing-turns-data-into-decisions<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>How Oracle Red Bull Racing\u2019s Hannah Schmitz turns data into high-speed decisions In the fast-paced world of Formula One, the job of a race strategist requires remaining calm while helping to make decisions that can make or break a team\u2019s result. Strategists like Hannah Schmitz must offer recommendations such as when to pit, what tires [&hellip;]<\/p>","protected":false},"author":1,"featured_media":17649,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21,350],"tags":[727,728,726],"_links":{"self":[{"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/posts\/17648"}],"collection":[{"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/comments?post=17648"}],"version-history":[{"count":2,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/posts\/17648\/revisions"}],"predecessor-version":[{"id":17651,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/posts\/17648\/revisions\/17651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/media\/17649"}],"wp:attachment":[{"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/media?parent=17648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/categories?post=17648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/proskillssaudi.com\/pt\/wp-json\/wp\/v2\/tags?post=17648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}