Security: I just can’t say enough and there’s even more to say when we talk about it coupled with blockchain technology. For this column, let’s delve in to how blockchain is being used globally to increase security in all kinds of situations—from peer-to-peer energy transactions to national elections and everything in between.
Cybersecurity: It's a question that can never be answered with 100% confidence or certainty. In fact, the real question that every company working to implement an IoT (Internet of Things) strategy should be asking is, how can it protect a business from cyber risk?
Orphan devices and solutions in the fast pace world of the IoT (Internet of Things): Have you really given much thought to this topic? For the purposes of this column, when it comes to orphan technology, I am basically going to address devices, platforms, and solutions that have been abandoned by their original developers for one reason or another.
When we talk about the IoT (Internet of Things), we talk a lot about growth, growth, growth. That’s because no matter how much we all want to avoid hype, there are just so many areas of opportunity for the IoT, and it’s hard not to talk about the possibilities. A quick Google search on the IoT will tell you things like: We can expect 12.86 billion IoT sensors and devices to be in use by 2020 in the consumer sector alone, and vertical-specific sensors and devices will exceed 3 billion by 2020.
IoT. This three-letter acronym has been gaining in importance to businesses each and every day. Its ability to capture and manage data is being referred to as the new oil and it’s spilling into every industry.
IoT (Internet of Things), AI (artificial intelligence), and ML (machine learning). All of these words are changing every industry at a very rapid clip. If you read this column a few weeks ago, you learned that machine learning is an application of artificial intelligence, in which computer systems “learn” by making data-driven decisions.
Artificial intelligence and machine learning are having a considerable impact on the changing tide in manufacturing. The change is so impressive it is actually playing a role in many industries. Its impact is so impressive that for this column I am going to dig into the difference between AI (artificial intelligence) and machine learning.
This week has us all taking a moment to pause and remember the deadly attacks that brought America to its knees. Al-Qaeda terrorists hijacked four planes carrying innocent passengers, and two of them were flown into the two towers of the World Trade Center in New York, which toppled to the ground, leaving devastation in their wake.
Security is such a huge consideration for any business undergoing a digital transformation, and this is true for manufacturers that are automating their factories. The threat of hacks and breaches is real, but it’s not a good enough reason to not invest in the IoT (Internet of Things).
For manufacturers, a digital transformation often means looking for new ways to leverage technology and IoT (Internet of Things)-derived data to generate revenue. And in many cases this means talking about the next generation of manufacturing. What does this actually look like, and what steps do manufacturers need to take to achieve Industry-4.0 status?