Mako AI Days 2024: AI based real time decision making - Jhonathan Romero Fontalvo, Co-founder of AQI

In this insightful presentation, Dr. Jhonathan Romero Fontalvo, co-founder of AQI, explores the application of AI in real-time decision-making, using a case study from the world of Formula 1 racing. The talk highlights how AI can process vast amounts of data, such as video, audio, and time-series telemetry, to assist strategists in making critical decisions during high-stakes scenarios. See the key highlights and takeaways:
🟡 AI can significantly enhance decision-making in dynamic environments by analyzing large datasets in real time.
🟡 Effective AI solutions require robust infrastructure, seamless integration, and continuous model updates.
🟡 Collaboration between AI systems and human expertise is essential for optimal outcomes.
📌 Key Highlights:
🟡 Case Study on Formula 1 Racing:
How AI models are used to optimize decision-making in real-time, such as predicting tire degradation, managing pit stops, and avoiding accidents.
🟡 Challenges in Real-Time AI:
The complexities of processing live streaming data, feature engineering, and ensuring prediction accuracy within milliseconds.
🟡 Infrastructure Design:
Insights into building high-performance event streaming systems to handle live data and support AI predictions during races.
🟡 Lessons Learned:
The importance of balancing prediction speed and accuracy, maintaining AI models with updated data, and designing flexible infrastructure for deployment.
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