Smartlogic Releases Semaphore 4.2 - an Enterprise-grade, Semantic AI Platform

on: October 29, 2018, by: Ann Kelly

Smartlogic Semaphore Inc. today announced the release of Semaphore 4.2, the latest version of their enterprise-grade, semantic AI platform used by Fortune 1000 companies worldwide. Semaphore 4.2 delivers key capabilities across model management, content classification, and fact and language services:

  • Improved governance and review cycles
  • Critical enhancements around metadata and fact extraction services
  • New modeling capabilities that support micro-targeting and product marketing
  • Powerful new fact extraction – the FACTS framework

Semaphore 4.2 strategically impacts the current state of AI technology, which recognizes the collaborative exchange between humans and machines. This human/machine interaction allows knowledge workers to focus their attention on exception processing and higher-value work. Semaphore’s FACTS framework automates the fact extraction process of data from text and can expose facts from enterprise data including information about documents. It can identify pertinent content within documents and facts found in text fields within structured data sources.

“Incorporating sophisticated NLP, machine learning and cutting-edge fact extraction technologies into the Semaphore platform continues a growth strategy that focuses on innovation, product differentiation and a commitment to make data great. Semaphore is designed to help our clients use information in new ways to handle rapidly changing business needs, meet growing compliance requirements and drive innovation within their organization,” Matthieu Jonglez, CTO Smartlogic.

Designed for the world’s largest enterprises who demand scale, quality, and multi-language support, Smartlogic’s Semaphore platform combines the power of semantics with award-winning model management, precise auto-classification, and cutting-edge fact extraction capabilities. Semaphore
4.2 delivers more value to digitization initiatives with the aggressive use of data – structured and unstructured, internal and external to the organization. It can be leveraged to capitalize on data across governance and compliance, provide excellent customer service, and gain valuable insights from previously unavailable information to drive new revenue streams, organizational efficiencies and cost savings.

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