Using Natural Language Processing to Interpret Risk-Relevant Content
Explore the world of natural language processing (NLP), a fast-evolving technology that’s ideally suited to making sense of unstructured risk intelligence data at a time when corporations depend more than ever on the insights it can provide.
Using Cognitive Prediction to Confront Terrorist Financing
Traditionally, the approach to dealing with terrorist financing starts by breaking it down into two kinds of needs: supporting organizational costs, and the direct costs of attacks themselves, looking at things like travel, infrastructure, logistics and charitable support on the one hand; and everything from vehicles to surveillance gear and IED components on the other. Differentiating between the raise, the transfer and the use of funds is essential to countering terrorist financing, and advances in cognitive prediction models can help.
eBook – Five Steps For Best in Class Customer Screening
Customer screening and monitoring is essential – not only for compliance with complex regulations, but also to protect your organization against genuine Anti-Money Laundering, Know Your Customer and reputational risk. In this eBook, we present proven steps to create a compliance screening program that protects your business while keeping your costs under control.
Demystifying AI and ML
Whitepaper demystifying “cognitive technologies” from AI to machine learning – and exploring their growing role in compliance.
Business Case: Adverse Media for Banking
As a current tool utilized by most large financial institutions to support their AML/KYC processes, Adverse Media can play a significant role in realizing operational efficiency and improved risk decision making.
Business Case: AML/BSA for Regional Banks
Best practices for AML/BSA programs at regional banks, including screening adverse media, adding portfolio monitoring and the benefit of investing in a compliance screening program to cover all your risks.