In-Memory Computing for High Performance Financial Applications

In-memory computing addresses the toughest Big Data challenges in the financial services industry. Join GridGain’s Eric Karpman, a 30-year veteran of the financial services industry, as he shares how some of the world’s largest financial institutions use the power of in-memory computing for:

• Algorithmic and High Frequency Trading Requirements
• Advanced Analytics (TCA, Risk Management, Derivatives Pricing, Sentiment Analysis, etc.)
• Regulatory Tightening (Dodd Frank, Volker, Best Execution, Basel, MiFID, CCAR, etc.)
• Real-Time Compliance (AML, KYC, Fraud Detection, Trading Compliance)

At the end of this one-hour webinar, you will know how in-memory computing can power the predictive analytics and complex events processing financial services companies need to support demanding regulatory and client requirements.