As the Latestsale.com and tech ecosystem heads off for the Holidays we summarize an unforgettable event where we enjoyed front seats. The Latestsale.com Founder attended the exclusive AWS ExecLeaders USA: ‘Need for Speed: Peak Performance Under Pressure’ showcase, broadcast live from The Paddock at the F1® PIRELLI UNITED STATES GRAND PRIX 2024 in Austin, Texas on Friday 18th October 2024.
START UP TEAM BUILDING
Synergy between motor racing and the world of tech start ups came to life with 2024 Scuderia Ferrari HP drivers Carlos Sainz and Charles Leclerc who gave their uptake on what is takes to thrive, succeed and choose the right team members to optimize business performance. This special edition of the AWS ExecLeaders USA broadcast included several additional VIPs. Race Strategist Ruth Buscombe shared insights on working with world champion drivers and attendees were also treated to a live interview and tour of The Paddock with the magnificent F1® legend Mika Häkkinen!
The world’s most prestigious motor racing event engulfed us all as we uncovered backstage how two giants of the highly competitive world of elite motorsports perform their best under intense pressure. From factory to track, “racing teams must work together at breakneck speeds – leveraging advanced data, AI, and machine learning solutions to achieve peak fitness and win championships.” F1® expert hosts Sam Power and Louise Goodman together with former Scuderia Ferrari engineer and AWS F1® Brand Ambassador, Rob Smedley also joined the lineup of F1® and Amazon Web Services talent.
LESSONS LEARNT: APPLYING F1® INSIGHTS TO FUEL BUSINESS PERFORMANCE
OBSERVATION 1: Agile Leadership Under Pressure
The F1® Scuderia Ferrari racing team utilizes AWS data insights to measure and enhance performance metrics such as thermal and kinetic energy within their hybrid power systems. AWS provides real-time analytics via 300 sensors embedded in each car, delivering over 1.1 million data points per second. These insights allow Scuderia Ferrari to monitor energy flows, assess hybrid system efficiency, and optimize both thermal recovery and kinetic energy deployment during races.
For example, AWS Elastic Compute Cloud (EC2) and analytics tools including Amazon Kinesis provide the F1® racing teams with real-time feedback to adapt hybrid power strategies dynamically, ensuring peak performance even under extreme conditions.
OBSERVATION 2: Recharging Capabilities and AWS Data Tracking
According to data insights from Hewlett Packard, AWS data tracking plays a critical role in optimizing recharging capabilities and improving track performance. Scuderia Ferrari leverages cloud-based simulations and predictive insights to perfect energy deployment strategies, enabling the team to recharge and manage energy more effectively during high-stakes moments. AWS-powered tools such as Amazon SageMaker are used for machine learning models to predict optimal recharging cycles, ensuring that hybrid systems deliver power precisely when required, enhancing lap times and overtaking opportunities.
F1® Insights Powered by AWS
Reports from Euronews indicate that AWS supports a new era of F1® racing by enabling teams to process and utilize massive volumes of data in real time. For example, during the FORMULA 1® PIRELLI UNITED STATES GRAND PRIX 2024 in Austin, Texas, Amazon Web Services solutions helped analyze data from 300 sensors per car, translating 1.1 million data points per second into actionable insights. Powered by AWS Lambda and Amazon S3, F1® racing teams are able to identify optimal aerodynamic configurations, evaluate tyre wear, and predict competitors’ strategies. This precision fosters not only improved race performance but also a significant enhancement in fan engagement through improved storytelling and visualized data streams.
F1® TV and Fan Experience
F1® TV, which also runs on AWS infrastructure, offers fans a personalized viewing experience. By leveraging AWS’s content delivery networks and machine learning models, the platform streams real-time race data, telemetry, and multi-angle views directly to fans’ devices. The accompanying fan base app, powered by AWS, uses customer data to personalize content, delivering what fans want most: closer wheel-to-wheel racing and enhanced on-track excitement. AWS tools Amazon Personalize and AWS Amplify enable the app to curate tailored experiences, ensuring that fans remain engaged.
OBSERVATION 3: Predictive Insights and Pit Strategy Battles
AWS has revolutionized pit strategy decisions by combining real-time data with historical analysis. Leveraging 74 years of racing data and millions of data points generated per car per second, AWS enables Scuderia Ferrari to simulate multiple scenarios using Monte Carlo simulations and predictive AI models. Ferrari used Amazon Bedrock to access and benchmark multiple foundation models. The solution delivered a 20% increase in custom vehicle configurations and boosted productivity levels of over 1,000 technical users via a generative AI-powered knowledge base. Real-time competitor analysis further enhances strategic decisions, allowing teams to anticipate rival moves and respond with precision.
Aerodynamics, Simulations, and AWS Cloud Adoption
SVG (Sports Video Group) News Europe reported at the commencement of the Ferrari and Amazon Web Services partnership aimed to push fan engagement to new heights through data analytics, machine learning and compute capabilities, that the car design, aerodynamics, and race strategy have now been transformed thanks to AWS’s cloud infrastructure. Tasks that once required 40 hours of computing power now take only six hours when parallelized in the AWS cloud. For example, Scuderia Ferrari conducts over 2,500 aerodynamic simulation runs per week using AWS’s HPC (High-Performance Computing) resources. These simulations are critical for reducing drag and improving overtaking capabilities.
AWS Optimization: Confidence in Decision-Making
Zen Seats further highlighted in their article, “The Science Behind F1® Pit Stops: Strategies, Techniques and Record-Breaking Speeds,” that AWS optimization tools, such as Amazon Redshift for data warehousing and AWS IoT Core for telemetry, enable live decision-making during races. Pit stops, previously reliant on manual timers, now leverage automated data pipelines to predict tyre wear, assess fuel savings, and ensure optimal timing for car boxing.
In conclusion, as the AWS ExecLeaders USA: ‘Need for Speed: Peak Performance Under Pressure’ showcase unfolded; attendees could see clearly how predictive models powered by Amazon Web Services generate confidence in the decision-making process and impact entire race outcomes. Fans also benefit from AWS-powered data storytelling, as real-time telemetry and stats are displayed on broadcasts and apps, deepening understanding of race dynamics.