Yandex is going beyond web search and into the enterprise. This week it announced a new venture, the Yandex Data Factory, which will apply its machine-learning products and algorithms – which power more than 70 percent of its own products and applications – to business’ Big Data issues.
Using a client’s pre-existing data, the press release notes, Yandex creates an algorithmic model, which it then applies to the client’s new data to predict what will happen next in various scenarios. “This is exactly what is happening every second on Yandex’s services when we personalize search suggestions, recommend music, recognize speech or images, or target ads,” the release notes.
The model cases for Yandex Data Factory include: churn prediction by running segmentation and micro-segmentation algorithms on the data to find patterns in customer behavior that indicate they’re heading for the exit or that possible fraud activity is underway; personalizing cross-sell and up-sell recommendations based on user profiles built upon the searches they made, links or ads they clicked, videos they watched, and other activities; using its speech-to-text technology to analyze call center or other support call speech streams and detect anomalies in interactions to drive employee interaction quality and improve skills.
It also uses history-based prediction technology and its own computer vision and image recognition technologies to enables businesses to analyze large volumes of images and videos to spot anomalies, find recurring objects or events, and other things that will help them assess conditions and assure productivity.