Rugged highly reliable embedded computing solutions
If your platform is connected to the outside world, experts will tell you getting hacked and suffering a data breach is practically inevitable. The key is to minimize the risk and contain the damage by employing the right amount, and combination, of hardware and software security. READ FURTHER—>>>
Recently, we discussed the differences between consumer platforms versus commercial platforms versus industrial systems versus military systems. Here, we’re going to dive a little deeper into the industrial versus commercial sectors and discuss why an industrial system is likely the better option versus a commercial system, particularly considering cybersecurity concerns. As a recap, we… Read More »
Popular technology blogger Nicolas Charbonnier interviews Jack Smith, our director of technology, while at embedded world 2022. Jack gives an overview of ºÚ°µ±¬ÁÏÍø’ latest industrial embedded computer systems and highlights collaboration with Foundries.io, one of our valued technology partners. Click Here to Watch
On the surface, it may not appear that there’s a difference between consumer versus commercial versus industrial versus military product grades, particularly at the component level. But I assure you there are vast differences. The distinctions are important because they significantly affect reliability, endurance, and total cost of ownership over time. More>>>
Embedded computers generally stay in use for many years. Lifetimes of these platforms are sometimes measured in decades rather than years. The capital outlay in industrial and manufacturing facilities is often expected to last 20+ years. That said, we know that upgrades will take place. Just because much of the embedded computer may be long… Read More »
High reliability and highly reliable are two terms that are thrown around a lot in the embedded computing industry. Do they mean the same thing? No, they do not. High reliability is a well-accepted term in the industry with a specific definition. Highly reliable, on the other hand, is far more subjective. That’s not to… Read More »
Artificial intelligence (AI) is fairly ubiquitous in the embedded and industrial IoT spaces. In many instances, it’s actually machine learning (ML) that’s being utilized. Although, these two terms are often used interchangeably, they are not the same thing. Very simply, ML is a form (or subset) of AI, which can be quite large is scope…. Read More »
We’ve spent lots of time discussing the Edge of the IoT, particularly what processes should be handled at the Edge versus those that are better performed in the Cloud. And you’ve probably noticed the focus moving increasingly more toward the Edge, as compute capability grows. But that discussion soon leads to the next point: just… Read More »