LAS VEGAS—Formula 1 held the third annual Las Vegas Grand Prix this past weekend in the Nevada city. The race is an outlier in so many ways, and a divisive one at that. Some love the bright lights that make it appear to be set in Mega-City One or F-Zero. Others resent the rampant commercialism of F1 at its most excessive. And this time, Ars was on the ground, making one of our periodic visits to the series. The race we saw was something of a damp squib, seemingly leaving McLaren’s Lando Norris in control of the championship.
At least that’s how it looked when I left the track on Saturday night. Within a few hours, Norris and his teammate (and one of his two title rivals) Oscar Piastri were both disqualified for having worn away too much of the “legality plank” underneath the car—more on that in a while.
I was <a href="https://arstechnica.com/cars/2023/11/f1-succeeds-in-making-its-las-vegas-debut-a-spectacular-one/">a huge skeptic of the idea</a> when the Las Vegas race was announced, but the first two events put on a good show. Year 3 was a little more dull, however.
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Clive Mason/Getty Images
Emblematic of the new F1
Unlike most Grands Prix, Liberty Media promotes this one itself. It spent half a billion dollars to get ready for the 2023 event, some of that on the pit lane and paddock complex, yet more on resurfacing the roads to the standards preferred by these thoroughbred racing cars. The track layout—which looks like a pig on its back—is typical of North American street circuits.
LAS VEGAS—A Formula 1 car runs on soon-to-be-synthetic gasoline, but an F1 team runs on data. It’s always been an engineering-driven sport, and while you can make decisions based on a hunch, the kinds of people who become good engineers prefer something a little more convincing. And the volumes of data just continue to get bigger and bigger each season. A few years ago, we spoke to Red Bull Racing about how it stayed on top of the task, but a lot has changed in F1 since 2017, as we found out at this year’s Las Vegas Grand Prix.
It’s hugely popular now, for one thing, even in the United States: a 200 mph soap opera now with 24 episodes a season. Superficially, the cars look the same—exposed wheels, front and rear wings, the driver in between some side pods. And the hybrid powertrains that make the cars move are still the same format: 1.6 L turbocharged V6 engines that recover energy from the rear wheels under braking as well as the turbine as it gets spun by hot exhaust gases.
But the cars are actually fundamentally different, particularly the way they generate their aerodynamic grip mostly via ground effect generated by the specially sculpted underside of their floors rather than the front and rear wings. A bigger change lurks in everyone’s accounts. The days when teams were free to spend as much money as they could find are gone.
• AWS Singapore Innovation Hub shows the company’s shift from technology-led to business-driven, turning use cases into commercial applications.
• The F1 partnership showcases AI and cloud innovation, but also AWS’ capabilities with real-time data intensive analytics and insights.
AWS held an analyst day in Singapore, showcasing its Innovation Hub and the partnership with Formula 1 (F1).
AWS Innovation Hub
At the innovation hub, AWS demonstrated a diverse range of AI and cloud enabled use cases – from document analytics and loan processing for BFSI, to preventive maintenance and AI-driven surveillance in manufacturing. The facility also houses many other industry-specific use cases with additional use cases in the pipeline. This initiative reflects AWS’ ongoing shift from a technology-focused to a business-led engagement model. While technologies remain at the core, the company is deepening collaboration with enterprise leaders beyond IT, engaging directly with business executives and functional owners. Leadership, culture, and people are key enablers of successful digital transformation. The Innovation Hub serves as a platform for enterprises to explore and co-develop use cases tailored to their business needs.
Innovation labs are not new. Many other providers like global system integrators, telcos, and tech vendors, have been opening new facilities over the last few years. It is a proven way to drive adoption of emerging technologies through solution co-development, commercialization and ecosystem expansion. Besides, innovation labs can also strengthen providers’ brand share and enable them to gain deeper market knowledge such as understanding customers’ pain points. The use cases demonstrated at the AWS facility were innovative and promising, but most are somewhat comparable to use cases found in other providers’ facilities. But what differentiates AWS is its strong execution. Over 70% of the use cases have been brought into production. This is consistent with its strategy to expand focus on outcome-led engagements, and a strong proof point that the efforts are not just conceptual but outcome-driven.
AWS x F1
In the latter part of the event, there were sessions with executives at the track sites including a visit to the F1 Event Technical Center (ETC), sharing how the AWS and F1 collaboration is driving innovation and enabling various use cases for F1, teams, drivers, fans, and viewers. Since the partnership began in 2018, AWS has evolved from providing core cloud infrastructure to powering advanced AI solutions. Early deployments include leveraging over 1,000 AWS compute cores for computational fluid dynamics (CFD) projects to design race cars. Today, the partnership extends to AI applications including real-time insights, car performance, race strategy, issue resolutions/root cause analysis, fan engagement (e.g., hyper-personalization), game strategy, and safety and reliability.
Sports, as one of the most data-intensive industries in the world, offers an ideal testbed for real-time analytics. For example, an F1 car alone carries around 300 sensors, generating over one million telemetry data points per second with a total of 600TB across entire race. Similarly, a football match generates about 3.6 million data points. Furthermore, data from sports events are often highly fragmented (structured and unstructured) and need to be processed in real-time. Apart from F1, AWS is also an official technology partner in various major global sports events such as the NFL, PGA Tour, Bundesliga, NHL, and many other sports teams. While sports in APAC are not as big as in other regions such as the US and Europe, AWS collaborations with F1 and other sports organizations show its leadership in this industry. More importantly, it can also be seen as a powerful platform to demonstrate its broad capabilities and innovation in complex and data-rich environments.
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I was <a href="https://arstechnica.com/cars/2023/11/f1-succeeds-in-making-its-las-vegas-debut-a-spectacular-one/">a huge skeptic of the idea</a> when the Las Vegas race was announced, but the first two events put on a good show. Year 3 was a little more dull, however.
Credit:
Clive Mason/Getty Images
