Sports Analytics
Oracle Cloud applications and secure infrastructure have a proven track record in sports technology innovation, driving peak athletic performance. Just as in sports, data analytics can be the pivotal technology for organizations in any industry seeking real-time insights to improve strategic decision-making and gain a competitive advantage.
No other Formula One team has ever revealed data to this extent or given access to a driver’s data, be it a video game or in real life. So this is something that is genuinely new and special.
Sports customers powered by Oracle Cloud
SailGP, sailing’s fastest racing league, relies on Oracle Cloud Infrastructure (OCI) to deliver real-time data to the league’s eight national teams, broadcast partners, and fans worldwide. OCI helps teams optimize performance and give fans a thrilling new experience.
At the start of this Premier League season, the world’s most-watched sports league launched Match Insights—Powered by Oracle Cloud. These new, on-screen statistics provide advanced, real-time performance data during live broadcasts. This elevates the experience for billions of fans, giving them a deeper understanding of the play on the pitch and sparking new ways to enjoy (and debate) the world’s most beautiful game.
The Drivers’ and Constructors’ World Championship F1 team expanded their technology partnership with Oracle, using Oracle Cloud for real-time race simulations, fan engagement, engine development, and more.
The Major League Soccer club uses sports analytics to help improve team performance with Oracle Cloud Infrastructure Data Science and OCI’s data lakehouse.
The Warriors Player Dashboard, powered by Oracle, is a unique system that will provide the Golden State Warriors’ players and coaches with real-time statistics and integrated player performance data.
Oracle for Research was proud to sponsor MIT Driverless at CES 2022, where they joined forces with the University of Pittsburgh, Rochester Institute of Technology, and the University of Waterloo to compete in the Indy Autonomous Challenge, a high-speed, head-to-head autonomous race car competition for university teams. MIT Driverless uses OCI to store multiple terabytes of data, enabling their car to detect objects more than 130 meters away.
Mitigating trading risk with fast telemetry in the cloud
Larry Wong, Senior Principal Product Manager, Oracle Cloud InfrastructureMiles Jackson, Consulting Member of Technical Staff
Mike Blackmore, Senior Director of Solution Architecture
How amazing would it be if your financial institution could take advantage of data the same way Formula One (F1) does? F1 racing and trading risk management might not seem immediately related, but they both involve collecting, analyzing, and managing large amounts of data to make informed decisions. In this post, we look at a real F1 use case running in Oracle Cloud Infrastructure and share a solution for trading risk analysis that we developed for one of our financial services customers.
Cloud solutions for sports analytics
Advancements in instrumentation and data collection have expanded the use of sports analytics. From real-time telemetry to race strategy simulation and game modeling, Oracle Cloud Infrastructure (OCI) gives teams a competitive edge—even at the physical level of the athletes themselves and their equipment or racing vehicles. With more data, customers need OCI’s integrated statistics and machine learning methods to extract the patterns, trends, and insights required to make strategic decisions and gain an advantage. OCI enables even the smallest customers to compete with the big players on and off the field.
Monte Carlo simulation is a method for calculating the probability of multiple possible outcomes and is a good fit for any nondeterministic system. Sports, particularly racing sports that deal with random effects, benefit from the uncertainty and risk analysis embedded in Monte Carlo methods. Because of the large number of iterations calculated, Monte Carlo simulations require powerful computing capabilities such as those provided by high performance computing (HPC) on OCI. As the fidelity of your model increases, HPC on OCI can scale along with it, solving billions of simulations to give you the up-to-date data you need to make the split-second decisions that determine whether you win or lose.
From aerodynamics to crash test simulations, HPC on OCI provides the computing capabilities to run your most complex physics modeling workloads. Computational fluid dynamics (CFD) simulates the motion of fluids to speed up product development. In the motorsports sector, teams simulate the impact of external airflow on downforce levels. CFD can also simulate engine combustion and cooling and lubrication systems. Teams use finite element analysis (FEA) for chassis design to mimic the structure strength and harmonics. Both CFD and FEA are tightly coupled MPI-based workloads that benefit from Oracle’s 100 Gb/sec cluster networking, high-frequency Intel processor–based compute instances, and the latest NVIDIA GPUs.
You need your data, and you need it now. Real-time analytics on OCI allows teams and athletes to ingest data from anywhere and process and analyze large amounts of real-time information by using sophisticated correlation patterns, enrichment, and machine learning. Collect and stream live telemetry to OCI from vehicles, equipment, or athletes. OCI provides the tools to analyze the data en route to fast and reliable cloud storage. OCI also offers real-time strategy insights to teams, athletes, and fans, enabling quick decision-making, winning moves, and getting fans closer to the action than ever before.
Proprietary video streaming algorithms run on Oracle Cloud technology to deliver real-time entertainment across the internet. Users watch real-time content in the same frame at the same time—regardless of the device, operating system, or network connection quality. With OCI’s compute, storage, and networking capabilities, it takes less than a second to deliver the first frame on a live stream, enabling customers to encode video streams and deliver them worldwide in real time—all at a lower cost compared with other cloud service providers.
Learn how to adapt Oracle’s race car strategy to your business
Performance tuning of the race car setup
Measure: Slip angle and tire temperatures vs. lap time
Adjust: Suspension, camber, toe, spring rates, roll bar stiffness, dampers
Optimize: Lower lap time
Adapt: Measuring and feeding critical performance data back in real time allows you to continually tune your systems for performance.
Reactive monitoring to prevent the catastrophic failure of any system
Measure: Engine temperature and pressure
Adjust: Engine mode, driving style
Optimize: Keep key parameters in their operating windows
Adapt: By measuring performance parameters in real time as you operate in a changing environment, you can react and make decisions in real time to avoid system failures.
Proactive modeling for a competitive edge
Measure: Historical data coupled with predictive models, lap time vs. tire wear
Adjust: Pit stop, tire strategy
Optimize: Minimize race time
Adapt: Augment risk simulations with predictive models based on historical data, then continually simulate the future and use that data to make strategic decisions immediately.
Continual comparison with competitors to strengthen weaknesses
Measure: Speed trace comparison with competitors
Adjust: Car setup
Optimize: Minimize performance weaknesses around the lap
Adapt: By continually comparing your data with the data available from competitors, you can quickly spot deficiencies and allocate resources properly to turn weaknesses into strengths.
Technologies for comprehensive experiences
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High performance compute
Solving complex mathematical and scientific problems
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Oracle Analytics Cloud
A complete platform with ready-to-use services
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Media Streams Video Packaging Service
Deliver a complete video experience
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