Posted on: March 08, 2018, by: Ann Kelly
Smartlogic, the leader in Enterprise Intelligence solutions, has been named as one of KMWorld’s 100 Companies That Matter in Knowledge Management. This distinction is given to companies with solutions that represent the best in innovation, creativity and functionality as well as a clear understanding of customers’ knowledge management needs.
KM World is the leading information provider serving the Knowledge, Document and Content Management systems market. The judging panel includes industry colleagues, practitioners, theorists, and analysts, who analyze and identify the 100 companies whose products and services best meet the needs of their readership.
“We are honored to be recognized in the KMWorld 2018 100 Companies That Matter list again this year” said Jeremy Bentley, CEO at Smartlogic. “This recognition not only confirms us as thought-leaders in the field of Enterprise Intelligence and Knowledge Management but also demonstrates that the continued commitment to Semaphore by our customers is validated by our peers”.
Smartlogic’s Semaphore is an enterprise grade semantic platform that allows organizations to realize the business value of their information. By leveraging a common vocabulary and sophisticated semantic techniques
Semaphore brings structure to the unstructured, scales to manage organizational volumes and supports industry-standard semantic vocabularies.
Semaphore’s model-driven, rule-based semantic approach solves complex business problems that traditional technologies cannot. It integrates into and enhances the capabilities of existing technology to improve time to value for new opportunities.
Global organizations in the energy, healthcare, life sciences, financial services, government & intelligence, media and publishing and high tech manufacturing industries use Semaphore every day to enrich enterprise information with context and meaning. Semaphore extracts critical facts, entities and relationships to power case management, workflows and advanced analytics. It harmonizes different data types from disparate sources to create logical data warehouses with a true semantic layer.
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