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The journey toward AI-enabled railway companies.

Authors :
Chapuis, Raphaelle
Melnikov, Leo
Sandri, Nicola
Source :
McKinsey Insights; 3/7/2024, pN.PAG-N.PAG, 1p
Publication Year :
2024

Abstract

The article discusses the potential for artificial intelligence (AI) technologies to improve operations in railway companies. The adoption of AI has surged across industries, and railway companies have begun implementing various AI technologies for key use cases. The report identifies around 20 common use cases in the rail industry, with a focus on improving on-time performance, customer engagement, safety, and operational performance. Implementing AI could unlock an estimated $13 billion to $22 billion in impact globally. However, many railway companies have not yet deployed AI use cases at scale, and successful deployments require investment in capabilities, talent, and clear objectives aligned with business priorities. [Extracted from the article]

Details

Language :
English
Database :
Complementary Index
Journal :
McKinsey Insights
Publication Type :
Periodical
Accession number :
175964037