Posts Tagged


Can Big Data Help Us Travel Better?
Big DataData Science

There are hundreds of hotel booking sites online. They all have their own method of matching customers with options. There are basic options, like how many bedrooms for less than $200, and users will still end up searching through several pages before finding the right offer. Generic offers and bad

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Prescriptive Analytics For Booking Your Flights, From Flyr Labs
Data ScienceFinTechRetail & Consumer

The travel industry is no stranger to Data Science disruption – especially air travel. Online flight finders have been snapping up data scientists from other industries in order to make better use of the available data, and airlines have been building and opening APIs. Many services are using this opportunity

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28Th February- 1St March, 2015- Thack @ Itb Berlin

Do you have an idea for a digital innovation in travel? Can you code a working mobile or web application in 24 hours that helps travelers discover, enhance or share their journey? Does your original idea have the “wow factor” to win a share of Euro 3,000 in cash prizes

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Am I Going Down? Uses Flight Data To Calculate Odds Of Your Next Flight Crashing
Data ScienceNews

A new iOS app Am I Going Down? refutes the claim that there’s a “one in a million chance” of your plane crashing. In fact, if you’re on a Boeing 747-700 flight from San Francisco to Dallas, there’s a 1 in 4,593,011 chance you’ll crash. A Boeing 777 Cathay Pacific

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Travel Startup Hopper Uses Big Data To Find Cheaper Travel Options For Users
Big DataNews

Travel startup innovator Hopper is mining Big Data to help users to find the cheapest available travel options from across the web. Enunciates Chief Data Scientist Patrick Surry, “Every time you check a price, it’s different, it changes day-to-day, and people have no idea whether they’re getting a good deal.

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