Via streaming data, Jim Harris says machines can learn some amazing things without being programmed with domain knowledge.
@philsimon says that old stalwarts sometimes just don't cut it.
The post Everything is not a hammer: How new tools can make sense out of streaming data appeared first on The Data Roundtable.
David Loshin extends his exploration of ethical issues surrounding automated systems and event stream processing to encompass data quality and risk considerations.
The post Event stream processing, data quality and risk mitigation appeared first on The Data Roundtable.
Unless you’ve been living under a rock, you've surely noticed the increasing numbers of headlines about big data, Hadoop, internet of things (IoT) and, of course, data streaming. For many companies, this next generation of data management is clearly marked "to play with later." That's because adopting the next wave [...]
The post Which industries are early adopters of streaming data technologies, and why? appeared first on The Data Roundtable.
I’m drawn to immersive analytics (IA) because it covers areas I’ve been looking at since 2012, and have been publishing on since early 2014, like virtual reality and data worlds. I’m retroactively applying the cool new term IA (not to be confused with AI for artificial intelligence) to all of my activities [...]
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 exasperated 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 […]