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How Cognitive Computing Architectures Facilitate Processing

Posted December 14, 2016 | Technology |
Curt Hall

Cognitive computing requires more than just a collection of advanced algorithms. It involves the use of massively parallel processing (MPP) architectures to coordinate the interaction of the various natural language processing (NLP), machine learning (ML), statistical, and other algorithms as well as the retrieval and integration of data acquired from different systems. This enables processing to arrive at an intelligent decision or outcome when analyzing large volumes of data or interpreting a user’s natural language question.

About The Author
Curt Hall
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
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