Uber to invest $500 million to map the world

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Uber may have a bit of a Google complex.

The ride-hailing company has for years relied on Google Maps to make its business possible, but now Uber wants to create in-house maps that are tailored to the company’s specific needs, and it is investing big money in the project. This, combined with the fact that Uber is working on self-driving cars, makes it sound a little bit like…well, Google. So what is Uber’s end game here?

In IT Blogwatch, we hit the road.

What exactly is going on? Mary Pascaline has the background:

Hoping to reduce its dependence on Google Maps…Uber is…adding an ambitious geomapping project and driverless cars to its list of innovations. Uber [is] invest[ing] $500 million in mapping…Google has also increased the fee it charges to use Google Maps.

The ride-hailing company also hired…Brian McClendon last year. McClendon previously ran Google Maps and is considered an expert in digital mapping.

Seems like a pretty ambitious project to redo something that already seems pretty well done. So why is Uber investing in mapping? John Ribeiro fills in the blanks:

In IT Blogwatch, we hit the road.

What exactly is going on? Mary Pascaline has the background:

Hoping to reduce its dependence on Google Maps…Uber is…adding an ambitious geomapping project and driverless cars to its list of innovations. Uber [is] invest[ing] $500 million in mapping…Google has also increased the fee it charges to use Google Maps.

The ride-hailing company also hired…Brian McClendon last year. McClendon previously ran Google Maps and is considered an expert in digital mapping.

Seems like a pretty ambitious project to redo something that already seems pretty well done. So why is Uber investing in mapping? John Ribeiro fills in the blanks:

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thecodewarlock_5nvmze3q

Prince is Solutions-driven programmer with a few years track record of commended performance in modular and object-oriented programming. Well-versed in all phases of the software development lifecycle, with a strong working knowledge of algorithms and data structures. Proven success engineering customized solutions improving business processes, operations and profitability.

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