Inventing the 'Google' for predictive analytics

Now MIT spinout Endor has developed a predictive-

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analytics platform that lets anyone, tech-savvy or not, upload raw data and input any business question into an interface—similar to using an online search engine—and receive accurate answers in just 15 minutes.

The platform is based on the science of "social physics," co-developed at the MIT Media Lab by Endor co-founders Alex "Sandy" Pentland, the Toshiba Professor of Media Arts and Sciences, and Yaniv Altshuler, a former MIT postdoc. Social physics uses mathematic models and machine learning to understand and predict crowd behaviors.

Users of the new platform upload data about customers or other individuals, such as records of mobile phone calls, credit card purchases, or web activity. They use Endor's "query-builder" wizard to ask questions, such as "Where should we open our next store?" or "Who is likely to try product X?" Using the questions, the platform identifies patterns of previous behavior among the data and uses social physics models to predict future behavior. The platform can also analyze fully encrypted data-streams, allowing customers such as banks or credit card operators to maintain data privacy.

Read more at: https://phys.org/news/2017-12-google-analytics.html#jCp