Webinar: In-Memory Computing for High Performance Financial Applications
About
Join us on Tuesday, July 12, 1:00pm PT / 4:00pm ET to discuss:
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:
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.
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.
Speakers