The NetOwl Blog

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

November 11, 2024

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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September 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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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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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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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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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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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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