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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
In an era where digital transactions are the norm, misdirected payment fraud is a growing concern. Accurate, real-time verification of…
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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…
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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…
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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…
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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…
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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…
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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…
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Name Matching Helps Social Media Companies Verify User Identity
Whether to fight disinformation, avoid criminal liability, or reduce the number of fake accounts, social media platforms are under increasing…












