Operationalizing Real-Time Machine Learning – A Financial Services Case Study

Operationalizing Real-Time Machine Learning – A Financial Services Case Study

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

Real-Time Analytics Meets Kubernetes – Part 2: How to Auto-Deploy Your Machine Learning Stack

Real-Time Analytics Meets Kubernetes – Part 2:  How to Auto-Deploy Your Machine Learning Stack

In the first installment of our blog series on what happens when real-time analytics meets Kubernetes, we discussed how Kubernetes has become the de-facto open source containerized orchestration tool, as well as some practical tips for a one-click Kubernetes deployment

InsightEdge Platform and XAP 14.0: Embracing Simplicity for Smarter, Faster Insights to Action

InsightEdge Platform and XAP 14.0: Embracing Simplicity for Smarter, Faster Insights to Action

I’m almost sure that when Da Vinci said “Simplicity is the ultimate sophistication,” he wasn’t speaking about real-time AI, machine learning and transactional processing. And yet his words are ever so relevant when we think about overcoming the complexities of

GigaSpaces Shortlisted for Three Banking Technology Awards with Leading Financial Customers: Daiwa Capital Markets and Société Générale

GigaSpaces Shortlisted for Three Banking Technology Awards with Leading Financial Customers: Daiwa Capital Markets and Société Générale

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

Building a Low Latency Highly Scalable Data Serialization Protocol

At the heart of every big data solution, such as XAP, is data synchronization. While there are a number of solutions and approaches available today, they are either overly complex or incredibly inefficient. Fortunately, we have been able to combine

REST Data Service Over In-Memory Data Grid

REST Data Service Over In-Memory Data Grid

Applications are written in diverse and often remote environments. Storing and accessing data needs to be simple and portable, which is why REST (representational state transfer) is often the go-to protocol for web services. And yet, using REST for data

GigaSpaces to Attend Strata + Hadoop World London 2016

GigaSpaces to Attend Strata + Hadoop World London 2016

Strata + Hadoop World London 2016 we’re on our way! Join us at Booth #331 to learn about our new Spark Distribution and hear the latest on   XAP 11!   We’re very excited to be in London and can’t

What’s New in XAP 11.0

We have just released XAP 11.0 and we’re excited to share with you its new features (For a full list of the new features, see here) Geospatial API In today’s world geospatial data is on the rise—mobile phones and various sensors

Space Based Microservices

Martin Fowler and James Lewis’s microservices paper has been influencing many development teams and projects around the world. As such, this software architecture style has gained prominence among web-scale startups and enterprises. In this post, we’ll look at how microservices