Category: Name Matching

  • Fuzzy Name Matching Helps to Verify Payee Information to Reduce Misdirected Payment Fraud

    December 02, 2024

    Fuzzy Name Matching Helps to Verify Payee Information to Reduce Misdirected Payment Fraud

    In an era where digital transactions are the norm, misdirected payment fraud is a growing concern. Accurate, real-time verification of payee information makes it possible to reduce this fraud.

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  • How Entity Extraction along with Fuzzy Name Matching Enable Attorneys to Select the Best Expert Witnesses

    November 11, 2024

    How Entity Extraction along with Fuzzy Name Matching Enable Attorneys to Select the Best Expert Witnesses

    Expert witnesses are a critical part of a trial strategy. Selecting the best ones requires extensive evaluation of an expert witness’s career and background. Two AI technologies, Entity Extraction and Fuzzy Name Matching, can help.

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  • 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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  • 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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