Article: Geospatial for automation

Geospatial, Innovation, Open Data, Open Space

Geospatial for automation

Due to COVID-19, a lot of things changed in 2020. But the interest in autonomous mobility continued throughout the year. In the coming years, business in autonomy will continue to rise and meet the market interest. New business models are likely to come up.

For instance, the ride-sharing companies that have already taken a foothold are only the beginning. With the advent of autonomous cars, we will see more people, especially in urban environments, take advantage of vehicle sharing; individual automobile ownership will decline. This will impact vehicle OEMS (Original Equipment Manufacturers), insurance carriers, car rental companies, and many more.

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Article: Ex-Uber team raises $6M seed for geospatial analytics platform

Geospatial, Open Data

Ex-Uber team raises $6M seed for geospatial analytics platform

Years ago, Uber had a problem. With millions of users and tens of thousands of drivers scattered across a widening expanse of the globe, the fast-growing mobility startup wanted to display more accurate maps to users about where their ride was coming from and where it was intending to go to reach its destination.

The challenge is that geospatial datasets can easily reach into the petabytes, so how do you transmit and visualize such data — particularly on mobile?

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