ABBYY is helping business take control of unstructured information with the launch of new software that organises large repositories of incoming documents using statistical and semantic analysis of content.
Based on the company’s Compreno natural language processing (NLP) technology, ABBYY Smart Classifier allows large repositories of unstructured documents to be classified and made ready for search and retrieval, automated routing, intelligent data extraction and decision making.
Jupp Stoepetie, CEO of ABBYY Europe, said: “ABBYY Smart Classifier empowers companies to derive value from the data stream that constantly pours into their business. Documents are automatically assigned to pre-defined categories on the basis of their content. This language-based insight into information creates new opportunities to optimise critical business processes, including information governance, data migration, content management and client support.”
The scalable, server-based document classification module integrates into existing IT systems via a REST API, becoming an intelligent element within corporate content management systems including archives, knowledge bases and document management systems.
ABBYY Compreno technology forms the core of a new generation of intelligent analytic and discovery solutions designed to process unstructured data. Compreno understands the meaning of words, defines relationships between them and creates semantic representations that enable text to be analysed by computer for accurate information extraction, classifcation and intelligent search.
Stoepetie added: “Transparency of business critical documents is important as organisations look to improve retention policies, mitigate risk and ensure legal regulations are properly met. Customers, especially in the healthcare, banking, legal, manufacturing and insurance sectors, deal with complex document sets, strict compliance requirements and a large proportion of unstructured information. These enterprises can now locate essential information efficiently and make critical decisions faster, whilst at the same time support overall business agility, improve customer satisfaction and maximise the return on investment.”