Nick Summers is a technology journalist for The Next Web. He writes on all sorts of topics, although he has a passion for gadgets, apps and Nick Summers is a technology journalist for The Next Web. He writes on all sorts of topics, although he has a passion for gadgets, apps and video games in particular. You can reach him on Twitter, circle him on Google+ and connect with him on LinkedIn.
DataSift, a platform for compiling data from Facebook, Twitter and other social platforms, today released a new processing engine called VEDO to crunch this information at an unprecedented scale.
VEDO will allow users to capture data faster than ever before and then contextualize it for their own business. VEDO also leverages machine learning technology so that users can essentially train the platform to filter content for very specific criteria over large expanses of aggregated data. This means users can set custom rules, weighting, categories and scoring systems to improve DataSift’s results.
The company is also bundling in built-in data science and best practices, complete with example libraries of classifiers, to help newcomers customize VEDO to their liking. “It can be trained to understand any subject and to contextualize it so that the data can be inherently joined to other structured data within the business,” Nick Halstead, DataSift’s founder said.
Image Credit: FRANK RUMPENHORST/AFP/Getty Images
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