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Tag: Uber

‘TranSEC’ Machine Learning Tool Tackles Los Angeles Traffic

Traffic management is essentially a giant optimization problem, with urban planners and traffic engineers aiming to reshape roads, traffic signals and parking to smooth traffic patterns and avoid serious congestion. Howe Read more…

GitHub Hardens Supply Chain with a Query Engine

The GitHub code repository hosting service has moved to shore up its supply chain with a deal to acquire Semmle, creator of a semantic code analysis engine that allows developers to scan large codebases for vulnerabiliti Read more…

What’s Behind Lyft’s Choices in Big Data Tech

Lyft was a late entrant to the ride-sharing business model, at least compared to its competitor Uber, which pioneered the concept and remains the largest provider. That delay in starting out actually gave Lyft a bit of a Read more…

Reporter’s Notebook: The 2018 GTC Experience

Nvidia's GPU Technology Conference (GTC) is winding down after four days of frenzied GPU action. It was this reporter's first foray to this particular show, which attracted 8,500 GPU-loving (or just GPU-curious) folks to Read more…

4 Ways Uber Movement Data Can Be Used

Smart city planners rejoiced last week when Uber announced it would share trip data gathered from vehicles in its ridesharing fleet through its new Uber Movement offering. Besides helping to spot traffic bottlenecks in c Read more…

Finding Your Way in the New Data Economy

In big data analytics today, the goal is to capture, cleanse, and analyze as much data as possible. The leading practitioners are blending dozens of external sources with their own data sets, maybe more. But in the emerg Read more…

How Uber Uses Spark and Hadoop to Optimize Customer Experience

If you've ever used Uber, you're aware of how ridiculously simple the process is. You press a button, a car shows up, you go for a ride, and you press another button to pay the driver. But there's a lot more going on beh Read more…

Experfy: The Uber of Big Data Projects

Starting a big data analytics project can be tough, especially for mid-size firms that can't justify the cost of a full-time data scientist and don't want to deal with traditional consulting firms. But a company called E Read more…

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