Fireside Chat, Conference Presentation
SQORUS & Oracle: How AI is transforming step by step our industries. Use cases by ONET
- ONET aims to optimize ground operations and airport productivity by addressing the annual loss of approximately 200,000 bags out of 30 million at Charles de Gaulle, with a specific prediction that an improved baggage management system will result in more saved bags by 2025.
- Operational plans include deploying a "super algorithm" to determine optimal agent placement, implementing automatic GPS tracking, introducing voice-activated command systems, and utilizing OCR detection alongside OCI Vision for AI-driven anomaly detection on aircraft.
- The company intends to leverage generative AI for documentation sensitization (GOM) to enable procedural queries, collect additional data for real-time customer information, and develop an autonomous system that directly assigns missions to employees rather than relying on manual recommendations.
- Technological implementation strategies involve building applications via natural language prompting with Oracle Apex, utilizing Oracle Autonomous Database for direct SQL generation and automated performance scaling, and creating visualization and communication systems for transportation equipped with augmented reality on mobile phones and smart glasses.
- A primary operational risk involves the potential prioritization of saved baggage over strict first-in-first-out timing, which may lead to current Service Level Agreements (SLAs) not being respected, necessitating a redefinition of service agreements between companies.
- Technical challenges identified include the need for real-time performance improvement where initial OCR speeds were comparable to human task speeds, and a plan to maintain a separate verification system for critical production systems despite the speed of Oracle technology evolution.