AI @ CSX

CSX and the broader rail industry continued to implement AI and ML solutions for faster, safer journeys, predictive maintenance, asset tracking, and operational efficiency enhancements.

• Railway Age: Improving Rail Operations Using AI and Machine Learning

Industry research and deployment of AI-powered railroad trespassing detection systems advanced significantly, analyzing thousands of hours of video data to detect trespassers and improve safety.

• ScienceDirect: Artificial intelligence-aided railroad trespassing detection: case study

CSX maximizes cloud and AI technologies including Azure to revolutionize rail operations with real-time data streaming and analytics, reducing derailments and advancing supply chain visibility.

• Microsoft: The fast track: CSX transforms operations for 23000-plus employees with Azure and AI

CSX launched the AI assistant 'Chessie' using Microsoft Copilot Studio and Azure AI Foundry integrated into the ShipCSX digital portal, engaging over 1,000 customers in 4,000+ conversations within 45 days and enhancing freight tracking and case management.

• Microsoft: CSX boosts supply chain agility using Microsoft Copilot Studio

Railroads increased AI adoption focusing on transportation planning and adapting operations to changing demands, signaling greater scale deployment of AI-driven decision support.

• Trains Magazine: Railroads ramp up the use of artificial intelligence

CSX and partners advanced AI integration into railroad safety via systems like RAIILS and AI-powered cameras, improving hazard detection and situational awareness to prevent accidents.

• Federal Railroad Administration: Railroad Artificial Intelligence Intruder Learning System (RAIILS)
• Wi-Tronix: Using AI-Powered Camera Technology to Improve Railroad Safety

Rutgers University collaborated on developing a proof-of-concept AI-powered Trespassing Database to enhance tracking and prevention of trespassing incidents on railroads.

• Federal Railroad Administration: Development of Railroad Trespassing Database Using Artificial Intelligence

CSX introduced an AI-powered chatbot to streamline real estate inquiries, enhancing customer experience by providing quick, accurate responses to frequent questions.

• CSX: CSX Introduces ChatBot to Streamline Real Estate Inquiries

Industry-wide discussions on AI's concept and subset machine learning highlighted its growing adoption in transportation, underscoring technological awareness in railroads.

• Union Pacific: The Advent of AI in the Transportation Industry

Further AI research emphasizing trespassing detection and data analytics was conducted, enhancing railroad safety methodologies.

• njdottechtransfer.net: Research Spotlight: Exploring the Use of Artificial Intelligence for Railroad Trespassing Detection

Rutgers engineers developed an AI-aided tool to detect trespassing at railroad crossings, aimed at reducing fatalities and improving safety enforcement.

• Rutgers University: Rutgers Researchers Create Artificial Intelligence-Aided Railroad Trespassing Detection Tool

The railroad industry, including CSX, started experiencing workforce impacts due to automation and AI technologies such as human-computer interfaces and robotics replacing certain roles.

• APU Edge: US Railroad Workers Are Affected by Industry's New Technology

CSX began its AI journey with IoT-enabled machine learning focused on analyzing train delays and quantifying trip failure costs through a train delay index.

• Logistics Viewpoints: CSX's IoT Enabled Machine Learning Journey