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The NetOwl Blog
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View PostNovember 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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View PostSeptember 20, 2024
How Sentiment Analysis Can Help Election Campaigns
Social media represents a gold mine for political campaigns eager to understand and track public opinion. The challenge is how to obtain insights and do so in real time given the massive data volumes at play.
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View PostJuly 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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View PostJune 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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View PostMay 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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View PostApril 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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