How to Handle Big Data? Get Picky With Stream Processing
Getting a handle on Big Data using stream processing often involves getting data from disparate sources, then picking and choosing what you want to see. One …
Explores the intersection among business intelligence, Big Data technologies, and real-time analytics.
Getting a handle on Big Data using stream processing often involves getting data from disparate sources, then picking and choosing what you want to see. One …
"If you aren’t using social and mobile for your business, you’ve fallen behind," said the chief information officer at Dallas-Fort Worth International …
There are only a few complex event processing (CEP) fraud engines that support all of the varieties of uncertainty that reside in financial environments. Here, …
The Hess Collection Winery, part of the Hess Family Wine Estates, is a winery and art museum on the volcanic slopes of Mount Veeder in the Napa Valley. Here's …
Over the last 15 years, the term cloud—in reference to a centralized computing model where just about anyone can have access to enterprise-class …
On what grounds and under what circumstances are we justified to pre-act? RTInsights contributor George Paliouras discusses the ethics of pre-acting as it …
The banking and financial services industry has been moving toward an "omni-channel” presence in which the same customer services are seamlessly rendered, …
With the increasing popularity of wearable devices and the real-time data those devices' applications provide for us to analyze, we see the "service-oriented …
Putting actionable, data-driven insights directly into the hands of sales reps not only improves adoption rates for new data analytics tools but, as RTInsights …
Many of today's commercial properties already have high degrees of energy efficiency. However, even the most finely tuned heating and air-conditioning systems …