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Natural Language Processing
Natural Language Processing and Smart Search - Natural Language Processing works behind the scenes to understand the intent and meaning in a user query. Download the Five-Minute Guide to Natural Language Processing to learn how this translates to delivering the best answers, instantly.
Three Trends in Cognitive Search and Discovery
Fully 45% of surveyed organizations plan to replace existing search technology before 2019. Will your community of users seeking answers be able to compete in a world where decisions are increasingly data-driven? Watch this on-demand webcast featuring Attivio's CEO, Stephen Baker, and VP of Technology, Joe Lichtman, to see how client's are using Cognitive Search to break down information silos and accelerate insight.
Accelerating the Insight-Innovation Cycle
Wondering how you can out-innovate your competition? Attivio’s white paper, Accelerating the Insight-Innovation Cycle, reviews three critical imperatives for inspiring innovation and of how cognitive search can fuel a transformation. From timely data access to holistic correlation, this white paper explains how capabilities such as machine learning, natural language processing, and text analytics can reduce time-to-innovation dramatically.
The Cognitive Step - How Search Will Improve
Download Attivio’s The Cognitive Step – How Search Will Improve for a comprehensive review of how search is evolving to be more cognitive. Learn how and why technologies as machine learning, text analytics, and natural language processing make the cognitive search revolution certain.
Cognitive Search & Insight
Attivio’s cognitive search and insight solutions provide industry-leading natural language processing, machine learning, analytics, and knowledge graphing capabilities at scale to help you drive innovation, operational efficiencies, and improved business outcomes enterprise-wide.
Attivio unifies your information across organizational silos and automatically discovers the meaning in your data and documents, so you don’t have to enforce manual approaches. You can easily onboard new sources, so your KM initiative scales gracefully with your needs.