The NetOwl Blog

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  October 14, 2019

  Uncovering Adverse Information with Entity Extraction: a Use Case

  Identifying adverse information in today’s fast-moving global economy requires real-time mining of text-based Big Data from worldwide sources.

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  September 30, 2019

  The Challenges of Arabic Name Matching for AML

  Matching transliterated Arabic names is hard enough, let alone matching names in Arabic script against transliterated names.

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  September 19, 2019

  What is Entity-Based Sentiment Analysis?

  There is so much opinion data out there, but how do we know what people are actually saying?

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  September 11, 2019

  Geotagging Text for Advanced GIS

  GIS tools rely mostly on structured data, but what about all the geospatial intelligence buried in unstructured data?

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  August 30, 2019

  How Entity Extraction Identifies Adverse Information on PEPs

  Doing business in a global economy carries unique compliance risks that require collecting information from millions of news articles and thousands of sources.

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  August 16, 2019

  How Name Matching Is Critical to Prevent Financial Fraud

  Fighting modern financial fraud requires AI-powered technologies

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