Search engine Yandex is giving business businesses the opportunity to use its machine-learning technology to transform unstructured data into valuable insights.
With Yandex Data Factory, enterprise companies can manipulate big information to improve earnings, make their company more cost efficient, forecast product demand and reevaluate any audience targeting technologies they currently use.
Yandex Data Factory relies on MatrixNet, the firm’s machine-learning technologies, which deciphers information and determines if that information is a good response to a question or not. The algorithms are said to require using very little beyond exposure to that data’s topic.
CERN in Switzerland was use as a test bed for Yandex Data Factory’s number-crunching ability. It hunted for specific particle crashes, or occasions, among tens of thousands of terabytes of information, together with the advice being used in many of publications.
Connected the right station and Client
In a blog post, Yandex described how its machine-learning technology had been adopted by a European bank to increase the sales of merchandise by matching the best communications channels with consumers.
“By applying MatrixNet to conduct information on a few million of the bank’s customers, we created a model which could predict net present worth of communication of a product to a particular client via a specific station,” it said.
“This version was subsequently applied to the bank’s newest data to generate personalised product recommendations for each client paired with communicating station and rated by potential net profit worth.”
Yandex is best known for its search firm in Russia, but by supplying this software for a service product it’s expecting to expand into new businesses and areas by targeting western companies that are looking to bring order to their big information.
