Customer service in communications organizations is often based on archaic models. The time is ripe for a new model that applies predictive and real-time analytics to reveal hidden patterns in data, which in turn can be used to transform service calls into positive customer experiences.
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?
IBM and researchers at University of Alberta collaborate to accelerate analysis and prediction of climate changes from months to minutes. Using IBM’s InfoSphere Streams software, researchers are able to quickly ingest, correlate and analyze data as it arrives from more than 500 sensors implanted in
Context solves the big data mystery. Is there an opportunity hiding in your data? Learn how to shift through big data clues to find opportunities and mitigate risk. Observe each data point, put it into context, analyze it and dynamically shift your course of action.
Move from big data management
The average organization loses $3.2 million to data breaches, up 15% from 2013. It's time to blend log analysis, real-time and predicative analytics to enable a new big data security analytics strategy.
David Corrigan, director of IBM Infosphere product marketing, tells of using information in healthcare to intervene up to 24 hours earlier for serious illnesses. "Streaming analytics and stream computing offers a tremendous cost advantage when you are actually landing a huge volume of information
eHarmony uses IBM Big Data & Analytics to deliver personalized matches, quickly and accurately. Leveraging capabilities of IBM Watson Foundations, eHarmony drives the speed, performance and accuracy of its in-system analytics to identify compatible matches in real time.