Jim Harris discusses how the lines between data management and analytics are fading.
Tag: internet of things
Via streaming data, Jim Harris says machines can learn some amazing things without being programmed with domain knowledge.
Batters assess the game before hitting the ball. Similarly, Todd Wright says businesses can make faster, better decisions by understanding events in motion.
David Loshin extends his exploration of ethical issues surrounding automated systems and event stream processing to encompass data quality and risk considerations.
The real questions revolve around approaches to ESP system implementations, predictive models and quality of information being streamed, says David Loshin.
.@philsimon sees these two colliding sooner rather than later.
.@philsimon raises some chilling questions about the IoT and current threats.
We've all seen it before – a truck on the side of the road with the hood up and the driver desperate to figure out what’s wrong. In this situation, not only is a customer not receiving goods on time, but the problem is exacerbated by the fact that most
Streaming technologies have been around for years, but as Felix Liao recently blogged, the numbers and types of use cases that can take advantage of these technologies have now increased exponentially. I've blogged about why streaming is the most effective way to handle the volume, variety and velocity of big data. That's
.@philsimon says that privacy is your issue as well whether you believe it or not.