The NetOwl Blog

Fuzzy Name Matching Helps to Verify E-Signatures

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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February 06, 2024

Relationship Extraction is a Critical AI Technology for Effective Link Analysis

Relationship Extraction processes large quantities of unstructured data at scale to identify the critical links between entities.

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January 12, 2024

Sentiment Analysis Tracks Public Reaction to Geopolitical Events

Many organizations, public and private, need accurate and timely assessments of public opinion to geopolitical events.

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