Data to anchor a new age of risk management
Today, modern enterprises must tackle unstructured data, semi-structured data and data with high variety, velocity and volume. But current data systems for compliance cannot perform the requisite advanced analytics that require scale.
Artificial intelligence techniques are being applied directly to outcomes – such as customer due diligence and trade compliance – or where new model flavours iterating on unstructured data across different desks and borders are being validated and effectively managed. This white paper takes a closer look at each of these drivers, as the challenges posed by data science and new platform solutions move to the fore.
Download the whitepaper
Register for free access to hundreds of resources. Already registered? Sign in here.
More related resources
Big book of models: the ultimate guide to analytical models for smarter business decisions
The big book of models is a practical guide for professionals in risk management and quantitative analysis. It covers a range of analytical techniques, including Monte Carlo simulation and neural networks, providing insights into their applications across various industries. The book helps practitioners choose the right methodologies for effective decision-making.

Transforming IRRBB into a strategic advantage
Forward-thinking banks are transforming IRRBB from a regulatory obligation into a strategic tool

The shift to real-time in treasury and capital markets
The transition to real-time processing is under way in treasury departments

Managed services: exploring new and fundamental concepts
The role of managed services in the financial software services industry

Boosting regulatory assessment with GenAI: Prometeia’s use case for credit risk models
Prometeia’s GenAI tool provides institutions with the technology to remain competitive and compliant in a complex regulatory environment
