AI @ CSX

CSX is focusing on improving rail operations by using AI and machine learning for targeted trespasser hotspot detection, enabling proactive decision making to enhance safety and operational efficiency.

• railwayage.com: Improving Rail Operations Using AI and Machine Learning

CSX's AI strategy leverages Azure cloud and precision scheduled railroading to dominate rail logistics; research on integrating AI for bridge impact detection and advanced safety continued with various partnerships and publications.

• klover.ai: CSX's AI Strategy: Analysis of Dominance in Rail Transportation AI
• mdpi.com: Edge Integration of AI into Wireless Smart Sensors for Bridge Impact Detection

CSX deployed Microsoft Copilot Studio and Azure AI Foundry to launch 'Chessie', an AI assistant integrated into the ShipCSX portal, achieving rapid adoption with over 1,000 customers engaging in 4,000+ conversations within 45 days.

• microsoft.com: CSX Boosts Supply Chain Agility Using Microsoft Copilot Studio and AI

CSX modernized operations with a near real-time visibility platform for over 600 field managers; generative AI started revolutionizing railroad operations, safety, and customer service.

• mongodb.com: CSX Modernizes Mission-Critical Railroad Operations with AI
• everestrailcar.com: The Rails Ahead: How AI is Revolutionizing the Railroad Industry

Railroads intensified the use of AI in transportation planning and operations to meet changing demand efficiently.

• trains.com: Railroads Ramp Up the Use of Artificial Intelligence

AI-powered camera technologies and the Railroad Artificial Intelligence Intruder Learning System (RAIILS) were advanced to improve hazard detection and railroad safety.

• wi-tronix.com: Using AI-Powered Camera Technology to Improve Railroad Safety
• railroads.dot.gov: Railroad Artificial Intelligence Intruder Learning System (RAIILS) Phase 2 Summary

Federal Railroad Administration and Rutgers University collaborated on a proof-of-concept AI railroad trespassing database to enhance safety data management.

• railroads.fra.dot.gov: Development of Railroad Trespassing Database Using Artificial Intelligence

CSX launched an AI-powered chatbot to streamline real estate inquiries, improving customer experience; McKinsey highlighted AI as a catalyst for improved rail planning and operations.

• csx.com: CSX Introduces ChatBot to Streamline Real Estate Inquiries
• mckinsey.com: The Journey Toward AI-Enabled Railway Companies

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 researchers developed an AI-aided tool to detect trespassing at railroad crossings to reduce fatalities.

• rutgers.edu: Rutgers Researchers Create Artificial Intelligence-Aided Railroad Trespassing Detection Tool

AI and robotic technologies began impacting the railroad workforce, affecting jobs and joint human-computer interactions.

• apuedge.com: US Railroad Workers Are Affected by Industry's New Technology

CSX began its AI journey with IoT-enabled machine learning to create a train delay index that quantifies trip failures and the associated costs.

• logisticsviewpoints.com: CSX's IoT Enabled Machine Learning Journey