Category: Risk Management

  • Entity Extraction Is Critical for the Redaction of Documents

    January 14, 2025

    Entity Extraction Is Critical for the Redaction of Documents

    Entity Extraction offers an effective way to reduce the time and expense associated with redaction.

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  • 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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  • 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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