Eric M.’s Post

Formula 1 | MotoGP | NASCAR | IndyCar | WEC From optimising vehicle performance and race strategies to enhancing maintenance schedules and safety protocols, AI-driven technologies are transforming motorsports operations. Following our success in developing AI systems for closed-loop control of high-performance industrial systems, this guide shares practical insights and proven strategies for AI implementations in motorsports, including checklists for you to begin your journey turning concepts into real-world benchmarks. Click to download your copy of the FREE AI Transformation Guide for Motorsports today. https://lnkd.in/g5Mqp-ah #formula1 #grandprix #F1 #IndyCar #Indy500 #NASCAR #motogp #motorsports #AITransformation #EngineeringExcellence #industrialengineering #controlsystems #AISolutions #ai #artificialintelligence #machinelearning #poleposition

The most data-driven sport in the world starts today: Formula 1. Let's see what we can learn. Two years ago, I had the pleasure of hosting Rob Smedley, then Head of Data Analytics in Formula 1. The most important message from the meeting: data is used to build winning strategies in both sports and business. The goal is simple - to win. In sports where the differences are tenths or hundredths of a second, it is not enough to rely on the drivers or the cars. I will ignore the issues of data and simulations related to the creation of the car. Let's focus on the race itself. A Formula 1 car has up to 1,000 data points regarding 1. the functioning of the car and its individual components, 2. the aerodynamics of the car, 3. the behavior and biometric data of the driver. All this is combined with the precise time performance of a track divided into several dozen sections. We add data from video streaming, weather data (crucial for aerodynamics), track data, asphalt data, etc. To be clear: 10 teams, 20 drivers are racing. We are interested in all possible the data of all the 20 drivers. Even the behavior of the tires of the last driver on the track. During one lap of a Formula 1 race, we receive up to several hundred gigabytes of data from several thousand sources. The race consists of 50-70 laps, which gives a total of several terabytes of data. Data itself is just information without interpretation. We receive data in real time and we have to analyze it in real time. Although data analytics teams in F1 may consist of several dozen people, the human factor during the race is minimized. As humans, we are simply unable to control and analyze such amounts of and such rapidly changing data streams or the correlations between them. Advanced algorithms predict the possibility of anomalies and failures and inform teams about possible overheating of the engine, tires etc. Real-time simulations are key: suggest strategies related to the target speed and driving style, aimed at, for example, maximizing speed or saving tires, cooling or heating the brakes, etc. Key word: they suggest. Those systems are just supporting decision-making by team leaders. There are still mistakes related to pit-stop timing or tire selection (unimaginable, but still!). In the last two years, Ferrari instead of fight for a championship, were masters of making mistakes. What will it be like this year? Will Red Bull's level of excellence be at such an unimaginable level again? Last year they won 21 of 22 races. No one in history has ever come close to such a result. Who wins, who cares? A group of fans. But following trends in this most "data-driven" business is the second thing. Simulators and digital twins of racing cars are definitely ahead of the broadly understood industry, not only the automotive, but also data analytics/data science. BTW, one of the latest articles: https://lnkd.in/d9WZYFC3

As a data analytics professional and grassroots motorsports enthusiast, I’m constantly intrigued by the power of data. This article on how F1 teams use data analysis to monitor and transform their performance is a must-read! 🏎️💨 Data analytics unlocks a world of possibilities, from optimising race strategies and enhancing driver performance to predicting outcomes and improving vehicle setup. I record and analyse my own telemetry and vehicle data from my events to fine-tune my driving, adjust my setup, and ultimately shave precious time off my laps. Check out the article here: https://lnkd.in/gxkme_XU #DataAnalytics #Motorsports #F1 #PerformanceOptimisation #GrassrootsMotorsport

“NTT DATA, Inc. has pushed the boundaries of how technology can impact motorsports, helping us tap into vast amounts of data in advanced and productive ways,” said Roger Penske, Chairman of Penske Corporation, which owns INDYCAR and IMS" Curious about how NTT is innovating the fan experience at #INDY500? Check the article below!

Two of my favourite things: Data and Sport....this blows my mind when you read the data points... McLaren’s Data-Driven Quest for the Fastest Pit Stop McLaren Racing leverages data analytics to achieve record-breaking pit stop times in Formula One. - McLaren completed a pit stop in 1.80 seconds at the Qatar Grand Prix, setting a world record. - F1 cars have around 80,000 components, with 90% changing throughout the season. - McLaren runs approximately 30 million simulations per race, using data from various sources. - Each car collects data from 300 telemetry sensors, generating 250 million data points per race. *‘Everybody’s doing everything in their power to find milliseconds.’* #FormulaOne #McLaren #DataAnalytics #Racing #PitStop [Thomas Macaulay, July 9, 2024] https://lnkd.in/d3ubCJft

The 2026 season is set to revolutionize Formula 1! With a shorter wheelbase, lighter chassis, and reduced drag, cars will be more nimble and efficient than ever. These changes promise faster speeds, improved handling, and a thrilling new era of racing. How do you see these changes affecting racing on track? 🏎️ Write "Formula 1" to receive the link to the 2026 formula car aerodynamic simulation   #F1 #2026 #nablaflow #cfd #aerocloud

AI can make anything possible…

The 2026 rules of FIA have been published! Most of the race, the cars will be in ‘Z mode’ with front and rear wings both set at their default downforce-producing positions. However, while driving on straights, the drivers can switch to “X mode.” This opens flaps on both wings, reducing drag and allowing the cars to pick up more speed. It’s a smart way to make the cars more efficient and faster on the straight sections of the track. I'm hoping for closer competition between rivals. Can't wait to see the future races!! 🏎️ #Formula1 #FIA #F12026 #Aerodynamics #MotorsportInnovation #Racing

I suspect we're going to see a lot more simulation and AI driven strategy in sports of all types. ######### Max Verstappen's quest for a 4th F1 title is fuelled by 8 billion simulations powered by #OCI. Reuters shares how he's perfecting his strategy for the #LasVegasGP: https://lnkd.in/gdBKJsYX

“We’ve got so many data. But if I have to choose one, just looking at your own data is so important.” — Charles Leclerc   In tech and in racing, there’s an influx of #data. And utilizing the right data at the right time can pave the way for success—whether you’re personalizing journeys and offerings for a customer or ensuring an F1 vehicle is tuned for maximum efficiency. 🏎️ 🎯   Watch the Scuderia Ferrari team in action this weekend at the #BritishGP, and learn more about making data-driven decisions: https://gsys.cx/3zsnoRe #DrivenByExperiences