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 [...]
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 with GigaSpaces InsightEdge. In today’s article, we’re going to take [...]
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 big data and analytics that enterprises are facing today. Our [...]
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, [...]
As a trusted advisor to many enterprise architects and e-commerce business executives – I thought I would share my experience with a trending technology evaluation across the industry’s biggest brands using a simple and hopefully fun to read analogy – Disney’s adaption of the age old children’s story, The Three [...]
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 a number of these protocols to achieve what is a [...]
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 services can pose a number of challenges: Performance (clients should [...]
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