It seems that we’re reaching the point where the Internet of Things (IoT) is moving from the domain of enthusiastic early-adopters to the more challenging, more profitable territory of mainstream enterprise technology. Event-driven architectures are playing a key role in these types of applications
Researchers at the University of Montana were interested in preventing epilepsy in patients suffering from traumatic brain injuries. As they began to gather data, they realized how crucial it was to be able to analyze this massive amount of data in a short period of time.
Cloud-based consumption models bestow a real-time experience for organizations applying analytics cost-effectively for specific use cases. Take a look at three scenarios that illustrate the democratization of technology consumption specifically focused on analytics.
Stream computing exploded in 2014 and we’ve got high expectations for 2015. The October 2014 IBM Institute for Business Value report found that real-time analytics is the leading big data requirement. What’s your prediction for the future of stream computing?