Thoughts on Connected Intelligence and Sustainability
Welcome to IoT Coffee Talk where we have a chat about all things #IoT over a cup of coffee or two with some of the industry’s leading business minds, thought leaders and technologists in a totally unscripted, organic format.
Welcome to IoT Coffee Talk where we have a chat about all things #IoT over a cup of coffee or two with some of the industry’s leading business minds, thought leaders and technologists in a totally unscripted, organic format.
When it comes to Connected Intelligence technologies like #Mobile, #5G and the #InternetOfThings, I’m all about moving the “Value Needle” as quickly, easily and sustainably as possible.
Sprint, Ericsson, and AT&T discuss 5G, IoT and Mobile Edge Computing at #Mobile Future Forward.
Internet of Things expert Jill Klein coined the phrase, “Derived Insight Response Time” as a measure of latency or how long you have to wait to derive #analytic insights from #IoT #data.
When an #Edge gateway aggregates information from multiple #IoT devices, sometimes it’s helpful for it to share #data with one or more of those devices.
Sometimes when things like industrial machines or connected cars send overwhelming amounts of #data in small amounts of time, #IoT #Edge devices can serve as an effective data backstop.
Once data has been filtered or analyzed at the #Edge, you’re probably wondering how remaining #data in need of further processing makes it to your Core #IoT Platform.
Here’s a quick list of #IoT #Edge gateway #data filtering and bandwidth conservation examples to get you going:
While you might think #MachineLearning is an activity that only takes place in the #cloud or on a cluster of powerful servers, there’s no reason why this can’t happen at the #IoT #Edge.