Yandex Data Factory has announced a partnership with Beeline. The partnership is designed to create a portfolio of new services for Beeline based on analysis of its big data.
Using Yandex’s proprietary technologies, the two companies will work together to create solutions that will enable Beeline to better predict mobile subscribers churn, forecast demand for mobile internet services, improve call-centre sales force efficiency and optimise its advertising spend through personalised targeting. The stack of Yandex’s technologies to be used in this project includes machine learning technology, MatrixNet, behaviour analytics technology Crypta, the company’s own look-alike targeting technology, and its natural voice processing technology, SpeechKit.
“Beeline’s existing solutions will be enhanced by the predictive and recommendation models that Yandex Data Factory will develop for them. Our agreement with Beeline is based on a revenue sharing model and depends on economic benefits of implementing machine learning capabilities for Beeline” commented Jane Zavalishina, head of Yandex Data Factory. “Considerably large volumes of data and a focus to improve customer service makes telecommunications an attractive market with great potential for machine learning technologies. We hope to expand our partnership with Beeline through future projects.”
Yandex’s technologies can be applied across a variety of business domains. Current Yandex Data Factory clients include one of Russia’s largest steel and iron manufacturers, Magnitogorsk Iron and Steel Works (MMK), whose aim is to optimise steel production using Yandex’s machine learning technologies. Other clients have included the largest bank in Russia and Eastern Europe, Sberbank, the federal road transport agency of Russia, Rosavtodor, and international game developer and publisher of massively multiplayer online game World of Tanks, Wargaming.
Yandex Data Factory is an international project of Yandex, Russia’s leading search provider and one of the largest IT companies in Europe designed to provide big data analytics and machine learning capabilities to corporate and enterprise clients. Its technologies which include, machine learning, image and voice recognition, deep neural networks, and natural voice processing help businesses utilise masses of accumulated data to create business benefits.
Comment on this article below or via Twitter: @ VanillaPlusMag OR @jcvplus
