Blog

  • How to Choose a Fuzzy Name Matching Product

    How to Choose a Fuzzy Name Matching Product

    In this blog, we describe 9 key factors to consider when choosing the best fuzzy name matching product.

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  • Relationship Extraction enhances Link Analysis

    How Relationship Extraction Enhances Link Analysis

    The clues for connecting the dots are often buried in unstructured data.

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  • Identity Resolution facilitates creation of Electronic Health Records

    Identity Resolution Facilitates the Creation of Electronic Health Records

    How can we create comprehensive Electronic Health Records when often key information does not match across records?

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  • Sentiment Analysis helps understand public response to pharmaceuticals

    Sentiment Analysis Helps to Understand the Public Response to Pharmaceuticals

    Social media is a gold mine of narrative accounts about pharmaceutical drugs waiting to be analyzed

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  • Identity Resolution for Data Management

    Got a Customer Data Management Problem? Try Identity Resolution

    Companies are being overwhelmed by customer data coming in via different channels and how to consolidate it all

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  • Entity Extraction Makes Unknowns Known

    Entity Extraction Makes Unknowns Known

    Looking for known unknowns or unknown unknowns in unstructured data? Here is how to find them.

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  • Name Matching for Safe Banking

    How Name Matching Helps Banks Meet Their Compliance Obligations

    When it comes to customer vetting, banks need to up their tech game. Here is how Name Matching helps.

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  • What is Faceted Search

    What is Faceted Search?

    Faceted Search, a standard feature in e-commerce, can also be used for search and discovery of unstructured text data

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  • Sentiment Analysis for Vaccine Public Health Campaign

    How Sentiment Analysis is Critical for Successful Vaccination Campaigns

    In order to address the challenge of vaccination hesitancy, public health officials need to analyze and monitor the public’s concerns…

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  • Name Matching helps protect the insurance industry against money laundering

    Name Matching Helps Protect Insurance Companies from Money Laundering

    Yes, even insurance companies can have a problem with money laundering. And Name Matching can help.

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  • Entity Extraction for Redaction of Surveys

    Entity Extraction Automates the Redaction of Employee Surveys

    Employee surveys contain a great deal of sensitive information that requires redaction before surveys can be shared or analyzed

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  • Identity Resolution for Data Privacy

    Identity Resolution Supports a New Era of Consumer On-Line Data Privacy

    The European Union’s GDPR mandates more privacy on-line, a daunting challenge

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  • Entity Extraction for Adverse Media Monitoring for AML

    Entity Extraction for Adverse Media Monitoring Strengthens AML

    Event Extraction enables Adverse Media Monitoring, so financial institutions can uncover the bad apples among their potential customers

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