Read the Forbes definition again. It describes a filter to select companies where the market expects them to make money tomorrow from lines of business they do not have today.
Since, for example, Intel makes its money from chips today, and will make money from chips tomorrow, in their terms its business model is not innovating. Forbes thinks they are a one trick pony, and more to the point since they are using market data, the market thinks Intel is a one trick pony.
It has nothing at all to do with how magical the pony is. The fact that Intel needs to find a new unicorn every year and teach it to be a pony is, from Forbes' point of view, repetition of the same old business.
I once had an EDA executive tell me that talking about innovation in the EDA and semiconductor industry is like talking about putting another layer of chrome on a crescent wrench. That's what excites EE's. Not the rest of the world, so much.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.