In-Memory Computing for High Performance Financial Applications

Learn how 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)
Eric Karpman
Consultant, GridGain