| Arati Mistry
Leveraging Geospatial Data for More Intelligent Decision-Making 

Discover the latest feature of the Quantexa 2.1 platform, Geospatial Search designed to make the most of geographical data to provide context.

Contextual-KYC-Quantexa
| Quantexa
A Guide to Using Contextual KYC to Better Understand Your Customers

With laborious onboarding, refresh and remediation processes, the challenge of KYC compliance is continuously growing. Find out how a contextual approach helps you to reduce the time and cost of KYC by increasing automation and leveraging decision intelligence for continual monitoring.

| Ross Aubrey
How Financial Institutions Can Detect and Prevent APP Fraud 

As instances of APP fraud continue to grow, discover how advanced technology can help outpace assailants and protect victims.

| Delphine Masquelier
Sanctions & Beneficial Ownership: Why Automating KYC Processes Is More Critical Than Ever 

In a world of sanctions and growing efforts to obfuscate beneficial ownership, it’s more critical than ever to automate KYC processes. Here’s why.

| Quantexa
The Spotlight on Sanctions Risk: Why Speed and Context Are Key to Mitigating Impact   

Explore how financial institutions’ risk and compliance teams can effectively identify and manage risk beyond sanctioned entities.

| Quantexa
Celent Case Study: Automating KYC Investigations with ABN AMRO

Explore how an automated approach to KYC has improved the efficiency and effectiveness of KYC investigations for ABN AMRO.

| Clark Frogley
Moving to Continuous KYC Monitoring to Reduce Risk & Improve Compliance

Learn how continuous KYC monitoring can result in reduced risk, improved AML compliance – while keeping you one step ahead of criminals.

| Alex Braid
Misclassification of Credit Defaults: Why Networks Are Key to Detecting Lending Fraud

See how network analytics technology can accurately detect lending scheme fraud to better manage credit risks.

| Roshni Patel
Monitoring and Managing ESG Risks with Advanced Analytics

Find out more about effective ESG risk management, and how advanced analytics such as AI and big data can be used to improve data quality.

| Roshni Patel
The Future of Credit Risk Management Lies with Technology

Find out about improving credit risk models and processes for the banking sector using advanced technology. Decision intelligence can address ESG risks and more.

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