The growth of artificial intelligence and real-time compliance drives new data and analytics requirements
Today, modern enterprises must handle unstructured data, semi-structured data, and data with high variety, speed, and volume. But current data systems for compliance cannot perform the advanced analytics required that require scaling.
Artificial intelligence (AI) techniques are applied directly to outcomes – such as customer due diligence and business compliance – or when new flavors of models iterating on unstructured data across different offices and borders are validated and effectively managed. This white paper takes a closer look at each of these drivers as data science challenges and new platform solutions come to the fore.
Loading…
Download the Risk.net/Databricks white paper, Data to anchor a new era of risk management
You must log in to use this feature. If you don’t have a Risk.net account, please sign up for a trial.
Login
You are currently in company access.
To use this feature, you will need an individual account. If you already have one, please login.
Login.
You can also request an individual account here:
