Current approaches to complex event recognition have various tradeoffs. In this white paper, the benefits and limits of various CER approaches are discussed.
How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices.
Processing Camera-Sensed Events: Improving Accuracy in Video Monitoring through Complex Event Processing
The camera is the primary technology we use to observe our environment and record real-life events. Whether for recreation, information, business, academic or security purposes, people are increasing their use of cameras – and the information the cameras provide – at a rapid pace. Processing this data is inefficient and time-consuming due to its volume and volatility. Therefore, new […]
IoT analytics can include notifications and alerts; embedding models; and complex event recognition. Use cases for each area are explored.
Streaming analytics products should be able to handle huge amounts of data in motion.
How do you perform analytics on data streaming from edge devices? IBM discusses their latest project, Quarks, now an Apache incubator project.
From Firefox to the IoT.
It’s possible to determine many things from relatively innocuous data.
Companies will combine their data mining and predictive analytics tools.
How real-time analytics, including predictive maintenance, weather data, and cognitive computing, could help Santa deliver millions of toys.