Visualising big data can often be a handy tool for upper level management. In a matter of seconds, you can see flu trends, popular areas in a city, internet outages, web fraud, what is popular in your shop, and much more. Handling huge amounts of data is usually restricted to
My colleagues and I have devised a mathematical model which can be used to predict films that become blockbusters or flops at the box office – up to a month before the movie is released. Our model is based on an analysis of the activity on Wikipedia pages about American
Bridj, a company focused on using data to reinvent public transit, will begin a trail of their services in May. Bridj uses a number of methods to analyse peoples data – from their Foursquare check-ins, tweets, ZIP code, Facebook updates, etc – to predict areas of “peak demand on any
In 2012 the world witnessed the enormous impact of big data analytics in the political sphere. Psephologists and data scientists were busy analyzing, predicting and utilising the vast amount of data across various Internet platforms to not only predict the outcome of the presidential elections, but also to influence voters.
Having acquired InsightsOne three months ago, Apigee is launching a new update to its Insights product. With the updated platform, businesses will be able to apply predicative analytics to understand their customers better and deliver individualized services through predictive apps. The updated version of Insights will allow companies in various
BioConsortia, an agricultural biotechnology company that uses a proprietary Accelerated Microbe Selection (AMS) process to assess the beneficial microbial consortia for crop improvement, will be coming out of stealth mode on Monday. The company, currently headqaurtered in Davis, California, will sell its microbe solution as a treatment for crop seeds
IBM and Skillsoft announced in January that they would be joining forces to build a powerful big data engine. The goal of the collaboration is the development of enhanced adaptive learning experience for users “with a focus on productive data-driven learning outcomes.” The initial results of the work between IBM
As was revealed at this year’s CEBIT conference, BMW uses IBM technology in order to get that extra edge over competitors regarding optimising products, repairs and maintenance. Through deploying IBM’s software suite, BMW aims to predict and correct flaws in the design of soon-to-be launched cars before they are finalised