Event
Wed, May 20
Rise of IoT & Big Data in Rail 2026
Over these past seven years, we have quickly established a true community of like-minded, passionate individuals who not only have the solutions, but can visualise a better way to deploy data to create and preserve value in the transport chain. It’s through the extraordinary passion, trust and technical expertise of these people, that our event has become so successful as these individuals have the conviction to act on their vision. This exclusive gathering will explore how IoT and Big Data power solutions, such as predictive maintenance, asset optimisation and AI-Powered Applications to improve reliability, enhance efficiency, increase capacity and reduce maintenance costs, empowering rail operators and infrastructure managers to make smarter data-driven decisions. The Rise of IoT, AI & Data in Rail 2026 is a pivotal conference dedicated to the digital transformation of the rail industry through the integration of Internet of Things (IoT) technologies, Artificial Intelligence (AI), and Big Data analytics. Scheduled for May 20–21, 2026, at the Maritim Hotel Köln, Cologne, Germany, this event marks its seventh consecutive year, solidifying its position as a premier gathering for rail professionals seeking to navigate the complexities of digital evolution in transportation. iotandbigdatainrail.com Event Overview Organized by Rotaia Media, the conference serves as a dynamic platform for industry leaders, technologists, and innovators to explore and discuss the transformative impact of digital technologies on rail operations. The event facilitates in-depth discussions on leveraging data to enhance operational efficiency, predictive maintenance, asset optimization, and overall service reliability.
Where and When
Date & Time
Wed, May 20, 2026 9:00 AM - Thu, May 21, 2026 6:00 PM
About this event
Rise of IoT & Big Data in Rail 2026
Key Topics and Highlights The 2026 agenda encompasses a comprehensive range of subjects critical to the rail sector's digital advancement: Predictive Maintenance: Utilizing IoT sensors and AI algorithms to anticipate equipment failures, thereby reducing downtime and maintenance costs. Big Data for Asset Management: Harnessing large datasets to optimize asset utilization, lifecycle management, and performance monitoring. Digital Twins: Creating virtual replicas of physical assets to simulate, analyze, and predict system behaviors in real-time. Cybersecurity in Rail Systems: Addressing the challenges of securing interconnected devices and networks against potential threats. Blockchain for Data Integrity: Ensuring secure and transparent data transactions across the rail ecosystem. AI-Powered Applications: Implementing machine learning models to enhance decision-making processes and operational strategies.