In cancer treatment, time matters. With advanced IoT technologies and deep learning techniques, doctors could diagnose cancer faster and more accurately so patients can begin treatment sooner.
Implementing an IoT solution can be a challenging initiative. Implementing an IoT solution within an industry bound by numerous rules, regulations, and restrictions can make it feel impossible.
Medical devices are essential to our modern society. But the companies who make them face strict regulatory, quality and safety standards. To succeed, they must constantly innovate, drive down costs and navigate complex regulatory pathways.
In the first installment of our new essay series, KNOW, we explore of the future of farming in a digital world. Big data, machine learning, smart-connected equipment, IoT and autonomous tech allow us to understand fields and crops at the macro level ... down to a single row in the middle of a massive field.
With the right strategy, industrial manufacturers can capitalize on the opportunity to generate business insights from data, capturing sustainable economic value. Here’s an example of a use case.
You're wondering how to even get started with the Industrial Internet of Things, but there's a troubling lack of testimonials, leading practices, or general consensus on where and how to approach these opportunities. Here's a structured three-part approach to evaluating your IIoT investments.
Many companies ambitiously venture into mass customization implementations only to find that their enterprise technology is configured precisely to a mass production model. For manufacturers who choose to champion the virtue of consumer choice, here are five rules to live by.