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Amos leads, guides, and directs the overall success of Optibus. During his career Amos architected online ad targeting systems, search engines, and the Cortana personal assistant, for Microsoft, Siemens, and Collarity. Amos’ experience includes: optimization and graph algorithms, machine learning, distributed systems and big data. Amos holds a B.Sc. in Mathematics and Computer Science from Ben-Gurion University. He graduated with Dean Excellence, decorated by the Wolf, Intel, and Elkin prizes.

Sessions

  • June 12: Artificial Intelligence and augmented reality solutions for greater performance

    Artificial Intelligence and On Time Performance

    Artificial intelligence is often mentioned as the future of mass transportation, promising to solve many of the problems plaguing fixed route services. This is happening at the same time that the entire technology stack underpinning mass transit is changing - into modern, cloud-based systems that deliver the promise of advanced algorithms to provide for better service at lower costs. The talk will outline the areas in which artificial intelligence can be valuable in mass transit, map the likelihood and timeline for such changes and discuss the new ways in which planning and operating mass transport systems will change as a result. The talk will take improving on-time performance as a case in point of how artificial intelligence is used to improve scheduling for on-time performance.
  • June 10: Public transportation moves forward with AI and Internet of Things

    What can and can’t artificial intelligence do for public transport? Separating myth from reality

    Artificial intelligence is everywhere and it holds the promise of dramatically improving mass transit operations, by solving the many problems plaguing fixed route services today. This is happening at a time in which the entire technology stack underpinning mass transit is evolving - into modern, cloud-native, data-driven systems that use advanced algorithms to provide better service at reduced costs. This session will highlight the areas in which artificial intelligence can be valuable in mass transit, map the likelihood and timeline for such changes and discuss the new ways in which planning and operating mass transport systems will change as a result.
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