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Artificial Intelligence In-Depth Focus 2019

Posted: 21 February 2019 | | No comments yet

The use of artificial intelligence (AI) within the rail sector is critical to making the rail experience more intuitive, and to eliminate many of the disruptions passengers currently have to face. However, industry stakeholders need to adapt further to be able to access the full potential of AI…











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  • Developing AI: Keeping rail innovation on track
    Artificial intelligence (AI) is already playing a positive role in the rail industry. Analytic tools are helping customers plan and book journeys, and data is helping to provide more accurate real-time journey information. But as Daniel Beutler, President of Trainline International, explains, there is still more to do to unlock the true potential of AI and its impact in rail.
  • Exploring bias, explainability and accountability of AI and deep learning challenges in the railway sector
    The railway sector is facing new risks. The recent increase in adoption of artificial intelligence (AI) and deep learning systems have introduced new challenges. Intelligent systems that learn from data have been proven to bring huge value through insights and automation at scale, and hence adoption will only continue to increase. The railway sector needs to adapt. Fortunately, it is in a good position to do so. But before proceeding, Alejandro Saucedo, Chief Scientist at the Institute for Ethical AI & Machine Learning, explains we should first obtain a high-level understanding of what this technology brings, and subsequently the new challenges.
  • Hype or reality?
    Is artificial intelligence (AI) all hype, or does it mean the rail industry needs to act now to recognise, rethink and reorganise itself to embrace the advent of transformational technology? Gayang Ho, Research and Policy Development Lead at the UITP Asia-Pacific Centre for Transport Excellence (AP CTE), explores.

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