Smartlogic Recognized Again As A Leader In The Gartner Magic Quadrant For Metadata Management Solutions
Smartlogic Semaphore Inc. makers of the Semantic AI platform – Semaphore – today announced it has been positioned for the 4th year in a row by Gartner, the world’s leading research and advisory company, as a Leader in the 2020 Magic Quadrant for Metadata Management Solutions.
Read More : BMC Increases Global SaaS Delivery With AWS
“We’re excited to be positioned in the Gartner Magic Quadrant for Metadata Management Solutions for the 4th year in a row,” Jeremy Bentley, CEO Smartlogic. “As information continues to explode and markets, regulations, and industries evolve, organizations need precise, complete, and consistent information to tackle key business initiatives.”
Metadata and its uses go far beyond technical matters. Metadata is used as a reference for business-oriented and technical projects and lays the foundations for describing, inventorying, and understanding data for multiple use cases. Use-case examples include data governance, security and risk, data analysis, and data value.”
Read More : SalesTechStar Interview with Kevin Baumgart, VP of Sales at Hologram
Semaphore’s fit for purpose enterprise-grade infrastructure is implemented across a broad range of industries and use cases. It allows organizations to manage semantic knowledge models, automatically extracts data and facts from unstructured and structured information, and generate and manage high-quality metadata. It combines Natural Language Processing (NLP) with fact extraction; model-based classification; and semantic enrichment. These capabilities allow you to harmonize, extract, and enrich data in all its forms using text-based information as the source.
Semaphore is applied to digital initiatives such as improving customer experience, contract life-cycle management, preventive and investigative intelligence, records management, data and text analytics, process automation, regulatory compliance, and information security. The platform integrates with content, data, and application systems; supports multiple data types – including graph and incorporates AI and machine learning strategies to transform digital data into qualified actionable intelligence.
Read More : What Sales Executives Need to Know About AI Contract Management
