As regulations drive demand for real-time visibility into risk, how can existing infrastructure gain the massive increases in speed and scaling that are needed?
To resolve this question, many leading banks, asset management firms and fintech companies have turned to in memory computing — making this technology their new foundation for real-time risk analytics, portfolio management and regulatory compliance. That’s because in-memory computing can add the necessary speeds and scalability to existing applications without ripping and replacing existing systems.
This paper provides additional details about in-memory computing capabilities and how they can be used for risk analytics, management, and compliance.