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Getting Data-Ready For AI: How Public Transit Can Thrive in An AI World



This article was written by Miki Szikszai, CEO of Snapper Services.


Artificial Intelligence (AI) has the potential to transform public transit. Applied correctly, AI could enhance operational efficiency, support with optimisation efforts and improve the passenger experience. Tasks like recommending schedules or routes in line with evolving community needs can become seamless. It could also support with maximising resource allocation, reducing emissions and promoting alternative transportation modes such as micromobility and Mobility-as-a-Service (MaaS) platforms.  


There are real productivity gains to be had with AI. It’s not mere hype – it’s a tangible reality that is being applied across various industries. By leveraging AI-powered tools, public transit organisations can accelerate the rate at which they improve the passenger experience. The cognitive burden of sifting through vast amounts of data to highlight key trends is taken care of, enabling operators to focus on strategic decision making.


These tools are already improving productivity in many sectors and chances are your team is already using them in some capacity. But while the benefits of AI are clear, its potential depends on accurate transit data and addressing outstanding strategic issues.


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