IBM works with global transportation companies and public transport—including air travel, cruise lines, railways, hospitality, and freight and logistics operators—to enact technological change and transformation with AI. Given the asset-intensive and mission-critical nature of these industries, travel & transportation organizations are exploring generative AI and machine learning in their core business domains to boost performance and reduce risks.
Artificial intelligence has proven useful in advancements and scaling in established areas such as maintenance, security threat detection and data analytics. With generative AI, the transportation sector can focus on intensive tasks, analyze large datasets, comprehend complex documentation and synthesize these findings into actionable insights for teams.
AI adoption can benefit transportation infrastructure in a wide range of use cases:
- Operational efficiencies
- Productivity gains
- Real-time risk avoidance
- Operational cost savings in critical business areas
Case studies
Lufthansa cultivates empathy while driving meaningful engagement with IBM Watson Advertising conversations.
A switch to hybrid cloud architecture drives digital presence and enhances employee and customer experience.
Using the IBM Cloud Platform, Etihad Airways embarks on a strategic digital transformation program.
With updated, sustainable asset management, trains keep passengers moving safely, reliably and comfortably.
Japan Airlines and its core IT subsidiary engages IBM to build a hybrid cloud infrastructure on IBM Cloud.
Transport for London consolidates the maintenance workloads of several subsidiaries onto a central IBM Maximo platform.
