The NetOwl Blog

  • Fuzzy Name Matching Helps to Verify E-Signatures

    July 03, 2024

    Fuzzy Name Matching Helps to Verify E-Signatures

    E-signatures are effective in helping to ensure the authenticity of documents, but they need to be supplemented by Fuzzy Name Matching.

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  • Entity Extraction Helps Insurance Companies Model the Cost of Adverse Events

    June 03, 2024

    Entity Extraction Helps Insurance Companies Model the Cost of Adverse Events

    For the insurance industry it is key to predict the financial impact of adverse events. Entity Extraction helps track adverse events for cost modelling.

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  • How Cross-Language Name Matching is Crucial for Customer Verification and Vetting

    May 06, 2024

    How Cross-Language Name Matching is Crucial for Customer Verification and Vetting

    In a global economy, financial institutions face the challenge of verifying and vetting their customers' identity data across different writing systems.

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  • How the Combination of Entity Extraction and Name Matching is Critical for Up-To-Date KYC Data

    April 05, 2024

    How the Combination of Entity Extraction and Name Matching is Critical for Up-To-Date KYC Data

    KYC Data Providers face the challenge of how to ensure their data is comprehensive and up-to-date in an ever-changing world with ever-growing data.

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  • How Identity Resolution Supports a Single View of the Customer

    March 04, 2024

    How Identity Resolution Supports a Single View of the Customer

    The myriad of ways in which customers interact with a company and the discrepancies in customer records make the job of unifying customer data much harder.

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  • Relationship Extraction is a Critical AI Technology for Effective Link Analysis

    February 06, 2024

    Relationship Extraction is a Critical AI Technology for Effective Link Analysis

    Relationship Extraction processes large quantities of unstructured data at scale to identify the critical links between entities.

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