Last week I presented SWIM.AI Edge Intelligence at the O’Reilly AI conference in San Francisco. It was a terrific opportunity to learn from real users about their challenges delivering value …

As organizations adopt Internet of Things (IoT) technologies in pursuit of more productive and cost-effective operations, it’s inevitable that we’ll continue seeing a shift from the cloud as a center …

Enterprises increasingly look to the cloud to deliver on their mainstream infrastructure and app needs: SaaS and IaaS make sense because they are cost effective, flexible and often more secure …

It’s becoming clear that the concept of “digital twins” will shape the future of how Internet of Things (IoT) applications are built. In fact, a Garter Research survey found that …

Remember when downloading a movie took hours to complete? At the time, it seemed like a reasonable thing. Movies are big files, and dial-up or DSL speeds were only so …

Companies in a variety of industries are attempting to leverage data being generated at the edge. Whether it’s related to equipment, motion, position, the environment or other types of information, …

Enterprises and public sector organizations are drowning in real-time data from equipment, assets, suppliers, employees, customers, and city and utility data sources. The hidden insights buried within this data has the …

Businesses are rapidly adding new devices, tags, sensors, automation, software and compute elements to help track and optimize business performance – but are rarely able to act on the data …

Big Data was never going to be a universal panacea. The goals of Big Data are clear, monitor and measure enterprise business and processes, analyse and act on that data …

This is part 2 of a two part series. Read more about Fog & Edge Computing in Part 1. Scores of articles discuss the difference between Edge and Fog computing, …