Risk management systems are being used consistently by many organizations, ingesting data and producing reports on levels of business risks - from strategic, compliance and operational risks to financial and reputational risks. But are these reports delivering sufficient insight on a timely basis? Consider financial services, insurance applications, payment processing [...]
One of my favorite films that depicted the power of Machine Learning (ML) for predictive analysis is Moneyball (2011). In the film, Brad Pitt who plays Billy Beane, the Manager of the Oakland A's, hires a Yale Economics graduate who uses computer-generated analysis of historical data and predictive modeling to [...]
Drawing on the insights shared by GigaSpaces, VP Product Yoav Einav as published in Computer Business Review, this article explores how in-memory computing meets the demands of applications requiring extreme high performance and low latency such as high-frequency trading. There is no doubt that in today’s world, the faster and smarter [...]
As the Financial Services industry becomes increasingly competitive, our customers are continuously striving to improve the quality of their services. They are leveraging their growing amount of data with innovative new services to optimize operations, reduce risk and enhance customer experience. The diagram below shows how banks prioritize customer experience, [...]
Trade and Event Processing at a Massive Scale - QCon NY 2012 Here is Uri Cohen's presentation from his session at QCon NY. Session Abstract: Efficient, low-latency and in-order trade processing has always been at the focus of financial institutions and investment banks. In a world where every millisecond counts, [...]
Recently I held a webinar around architecting solutions for scalable and near-real-time risk analysis solutions based on the experience gathered with our Financial Services customers. In the webinar I also had the honor of hosting Mr. Larry Mitchel, a leading expert in the … Continue reading →
