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Media verified Verified Outcome TRL 9

Real-Time Racing Insights (Cloud HPC)

domain Client: Global Motorsport Series handshake Provider: AWS schedule Deploy: 2018-Present
94 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

Use of High-Performance Computing (HPC) and machine learning to analyze car telemetry data in real-time, providing fans with on-screen graphics like 'Undercut Threat' and 'Tyre Performance'.

rate_review Analyst Verdict

"Transforms the fan experience from passive watching to analytical engagement. By decoding the complexity of F1 strategy (tire wear, pit windows) using AI, they made the sport accessible to a new generation (Drive to Survive era)."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

F1 is data-heavy but complex. Fans couldn't understand why a driver was slowing down (saving tires) or why a pit stop strategy was risky. The data existed on the cars (1.1 million points per second) but was locked in team silos. The broadcast lacked narrative depth.

psychology The Solution

Partnered with AWS to ingest telemetry from all 20 cars. Models trained on historical race data predict outcomes (e.g., 'Overtake Probability'). These are rendered as graphics in the live feed. Additionally, AWS HPC was used to run Computational Fluid Dynamics (CFD) simulations to design the 2022 car regulations.

settings_suggest Technical & Deployment Specs

Integrations
Broadcast Overlay
Deployment Model
Public Cloud
Data Classification
Telemetry
Estimated TCO / ROI
Sponsorship Value
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Data Latency Medium Edge compute.
Model Accuracy Low Disclaimer 'Predicted'.

trending_up Impact Trajectory

Audited value realization curve

Processing of 1.1M data points per second Verified Outcome
Primary KPIReduction in CFD simulation time by 70%
Audit CycleGlobal broadcast integration of AI stats

policy Compliance & Gov

  • Standards: FIA Regulations
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Telemetry

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Global Motorsport Series without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-724
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-724

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