2020 Vision: The Future of Business Information 

Information Happens

Relationships Define Natural Language Processing

by Leonard Hancock on March 13, 2017

Vectors, ontologies, embeddings and sentiment analysis: how relationships between words are the foundation of NLP

Human language follows unexpected patterns. Varied forms of syntax and metaphor, together with context and repetition, make classification challenging for both humans and machines. Manual classification of unstructured linguistic data by human curators can be valuable, but without technological assistance, is time consuming and potentially rife with errors. When such “natural language” data is left untouched it is less usable. Enterprises are faced with the challenge of transforming huge amounts of this raw data into actionable intelligence.

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Topics: Machine Learning, AI, Natural Language Processing, Ontologies, Sentiment Analysis

A Breakdown of Key Concepts Shaping Business Information Technology

by Kari Walgran on September 23, 2016

Artificial Intelligence. Machine Learning. Natural Language Processing.


Artificial intelligence. Machine learning. Natural language processing. Once the stuff of science fiction, these high-tech unions of human intelligence and computing capabilities, of algorithms and efficiencies, have already transformed business information technology, and they are poised for even greater growth in the future.

With drastic changes in information processing compounding the ever-growing volumes of information being produced, it is critical for digital strategists to develop a working knowledge of key concepts and terminology.

Read on for a glossary of key terms, along with links to further reading and resources.

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Topics: Machine Learning, Business Information Technology, Natural Language Processing, Artifical Intelligence

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