Personal Post on My Continuing Journey with IoT Edge Computing

I made the biggest career change of my life recently. I left the consulting firm I had been employed with…

Are We Ready for the XR Cloud?

Human interaction with a machine in which the machine retains and manipulates referents to real objects and spaces

What is Edge Analytics

When it comes to Internet of Things, much of the focus is on the “Things.” Devices are the lead guitarists and singers of the IoT world. After all, devices are what we interact with. We wear them, we use them as little handheld computers, and they make normally dumb objects smarter.

The Smart Factory for Brewers isn’t Just for the Big Brewers; is Your Independent Brewery Ready for IoT, AI, and the Cloud?

Wouldn’t it be great if every beer bottle that left your brewery met with your exacting quality standards, if overflowing and excessive foaming were yesterday’s problem, and not a persistent, wasteful expense?

Do IoT Edge Systems Obey Conway’s Law?

Conway’s Law and the Shape of Organizations If you aren’t familiar with Conway’s Law, it’s an adage introduced in 1968…

I Read and Summarized the 3rd Edition of IoT Signals So You Don’t Have to

A report built based on survey data taken by the company named, ‘hypothesis’. This is a combined effort between Microsoft and Hypothesis to capture the most current state of IoT from the view of business leaders in certain sectors; manufacturing, energy, mobility, and smart places.

Operationalize Machine Learning for Manufacturing

MLOPS is not free. There are operational costs associated with the practice. This is not a cost you can avoid. Too much depends on the accuracy of your models, especially in a production environment to take on the risks without the assurances that a good MLOPs practice brings to manufacturers.