Joe McKendrick

Recent analysis suggests early adopters of cognitive computing tech – AI, ML, and NLP – are seeing positive results. But execs are taking their time.

AI has made great strides in its abilities to make real-time decisions, but there’s a lot that technology’s star student still needs to learn.

Real-time agility in an enterprise is more than a collection of technology, it is a well-managed organization that brings out the best in people.

With the rise of the Internet of Things and fog computing, these micro data centers are going to be an important part of data analytics-driven enterprises.

Fog is expected to experience triple-digit annual growth. Here are the three main categories of players in this emerging fog computing market.

Utilities are embracing real-time pricing, but this area still needs refinement, as results have been less than encouraging.

For the past two years, the Industrial Internet Consortium has been assembling testbeds to demonstrate the value of IIoT. Here are the latest use cases

Enterprises continue to increase their IoT investments — and those IoT projects are getting more sophisticated and delivering results.

If real-time data means data being transmitted at millisecond speeds, are businesses ready to do something with it?

Blockchain closely tracks and transmits timely data and creates transparency, which lets retailers closely monitor inventory levels, which could lead to dynamic supply chains.

The Industrial IoT is accelerating, thanks to low-cost sensors, growing cloud computing capacity and evolving enterprise software. Here’s what manufacturers need to know

For the first time, the human brain has been positioned as a source of steaming IoT data.