by Angela Guess
A recent press release reports, “Sinequa, a leader in cognitive search and analytics, today announced a partnership with Thomson Reuters to integrate Thomson Reuters’ Intelligent Tagging with Sinequa’s Cognitive Search & Analytics platform. Using natural language processing and machine learning, the joint solution provides financial services and other data driven verticals with better insights and contextual information from data across the enterprise. Sinequa has integrated TRIT into its Cognitive Search & Analytics platform, creating a more powerful search solution that enables global organizations to recognize specific financial terms and abbreviations (e.g. ticker symbols) as well as other entities and relationships in vast amounts of structured and unstructured data. By empowering users to find more rapidly the relevant information they need, the TRIT/Sinequa solution delivers greater productivity and improved performance.”
The release goes on, “TRIT is a powerful metadata solution designed to provide a faster and easier way of tagging specific data points such as individuals, places, financial terms and stock exchange expressions, events and other content. TRIT leverages a whole range of technologies to add structure to data, allowing it to be analyzed and more intelligently indexed for searches. Sinequa develops cognitive technology that empowers people in large organizations to gain insight from enterprise data within their digital workplace. By combining human-driven interactions with machine-assisted analysis, the company’s insight engine serves as a comprehensive auxiliary brain to enterprise workers by delivering right-time, relevant and contextual insights so they can make better decisions, drive innovation and achieve greater operational efficiencies.”
Read more at Marketwired.
Photo credit: Sinequa