-

The Critical Role of Entity Extraction in Transaction Screening
Regulatory screening requirements apply not only to the structured data (e.g., sender, beneficiary) of transaction messages but also to the…
-

Geotagging Text for Advanced GIS
GIS tools rely mostly on structured data, but what about all the geospatial intelligence buried in unstructured data?
-

What is Relationship Extraction?
Relationship extraction, also known as relation extraction, identifies the semantic relationships between entities that are expressed in unstructured text (e.g.,…
-

The Complexities of Building Your Own Name Matching System
Home-grown name matchers fail in two major dimensions: scalability and accuracy. There are 3 pitfalls of building your own name…
-

How Name Matching is Crucial for Transaction Screening as Part of AML
Transaction Screening for AML compliance requires screening of both the sender and the beneficiary of a transaction against various databases…
-

What is Cross-Language Name Matching?
Cross-language name matching is an AI-based technology that matches names written in one language (e.g., English) against names written in…
-

Name Matching Is Critical for Accurate and Effective Employment Background Checks
Background checks are an essential part of the employee hiring process in many industries. Name Matching is a technology that…
-

How Name Matching Helps Protect Against Credit Card Fraud
As e-commerce continues to grow, so does credit card fraud. Fuzzy Name Matching provides a secure layer of protection.
-

How Name Matching is Crucial for Automated Identity Verification
In today’s digital world, there is an increasing need for automated Identity Verification to prevent fraud.










