| Developers: | Inline Technologies (Inlayn tekhnolodzhis) |
In 2014 the company provided the information and analytical system of scientific and technical investigation (IAS of a scientific and technological revolution). The system developed by INLINE Technologies is constructed based on service - the focused platform and intended first of all for extraction and processing of unstructured information from open sources: websites of producers, materials of media, state-of-the-art reviews, social networks and blogs. IAS of a scientific and technological revolution allows to work also with media data, for example the videos containing subtitlings, creeping line or comments and also to be used for work with the closed sources, i.e. with information collected on internal channels. Based on the received data of IAS of a scientific and technological revolution allows to build semantic cards of scientific and technical developments and industrial technologies.
Systems are the cornerstone domestic developments. Scientific and technological revolutions are distinctive features of IAS: work with all known data sources, multilingual capability (support to 200 languages is possible), flexibility of management of sources and processing of data and also high scalability (including the distributed processing of large data arrays on Big Data technology is supported).
IAS of a scientific and technological revolution allows industrial experts to increase significantly efficiency, providing access to up-to-date external information, and the qualifiers of thematic interests and reference books of subjects of scientific and technical information created and filled in the course of monitoring including help to reduce terms of mastering of modern technologies and to accelerate their implementation in production.
Implementation of infrastructure of virtual desktops allows to unify jobs at the enterprise regardless of specifics of divisions and also significantly facilitates information security support of the organization and allows to cut down considerably expenses on administration and support of jobs of users in comparison with traditional approach.
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