1999 was an exceptional year. It was a year when a plethora of concepts we know today started to emerge. When you take a look at the list of inventions that were born in 1999, you cannot do anything but agree that this year was something special in the history of human civilization. One of the concepts that were born this year was IoT.
For quite a long time, a vast majority of people out there didn’t have a proper idea about this concept. It was only after it has become mainstream in a variety of industries that it started gaining some recognition from the public. It offered companies a chance to create software that can bridge even the biggest gaps encountered in the technologies they produce.
Not only that but it can also be connected with a plethora of other technologies as well. For instance, it works pretty well with artificial intelligence. Even though AI is still a relatively new concept, it was proven that these two can work together pretty well. Today, we want to talk about the combination of these two technologies.
The Perfect Combination
IoT, or the internet of things, is a concept that allows different devices to communicate with each other. At the same time, they will act on the insights they are provided with. As we can all agree, devices are only as good as how much data they can provide their users with. For that sole reason, IoT has become an irreplaceable factor.
Not using this technology to bridge this gap can result in a serious challenge for these organizations. Thankfully, the adoption of this concept is now higher than it has ever been. Still, that doesn’t mean that some struggles haven’t been experienced on the way. For instance, putting the data to good use is still a pretty big challenge.
The problems can arise for two reasons, handling data and cloud transport. That’s the moment when artificial intelligence makes an appearance. It helps with processing and removes all the risks that can be made by humans. Therefore, you can see how important this element has become important in how IoT works these days.
Unlocking the Potential
Since the combination of these two concepts has proven itself to be so effective, it’s no surprise that countless companies from all over the globe have implemented it. We can expect that even more will do so in the future. AI helps with having even deeper insight into the data that’s processed through the devices.
Not to mention that AI also provides IoT with other numerous excellent features like speech recognition, or computer vision. Therefore, reviewing data will not need any sort of human review during the procedure. With the constant increase in efficiency, you can be sure that the complete potential of IoT is unlocked by including AI.
What are the Benefits of AIoT?
Since the combination of these two concepts has been introduced it has made some exceptional results. Their collaboration is responsible for billions of gigabytes of data every single day, which is nothing short of exceptional. According to some projections, this amount can potentially rise to more than 40 billion per day by 2025.
Since the need for so much processing has skyrocketed during the last couple of years, IoT couldn’t handle all of it, and the need for including AI into the mix has emerged. By utilizing AI, it is possible to make IoT networks able to learn from the mistakes that have been made in the past and overcome them immediately.
The good thing about it is that it becomes an automated process. So, you can expect that all the problems that occur over time can be fixed pretty soon, just by letting the procedure work on its own, without too much of your interference. Naturally, these benefits we’ve named are not the only ones out there. Now, let’s check some of these benefits in greater detail.
Efficient Risk Management
Pairing these two offers the user a chance to have much better risk management. When you’re being able to predict a vast majority of problems that might occur, then it is no surprise why handling these potential problems tends to be much significantly easier.
So, you can prevent all sorts of problems, like cyber threats, financial issues, security problems, etc. All these are extremely important and not paying attention to just one of them can cause a lot of headaches down the road. Thankfully, you don’t need to worry about these as was the case before.
Operational Efficiency
Operational efficiency is an absolute must in every procedure out there, including data processing via IoT. Of course, achieving the best possible level is not always possible and easy. For that reason, including AI into the mix is widely considered an essential element for IoT success recently.
Therefore, processes that are usually quite time-consuming can be resolved as soon as possible, without investing too much effort into it. Since it doesn’t require too much time to be processed, the whole procedure becomes even less costly, which is always important no matter what procedure we talk about.
Scalability
The final benefit we want to address is scalability. Transferring the data from one device to another can be quite problematic if AI is not a part of the process. Think about it, you are about to transfer something from a mobile device to a high-performance laptop.
It will not work properly, especially if the data hasn’t been processed accordingly. The scalability aspect offers the chance for the data to be on the level needed, and to reach the users in the best possible form. Otherwise, the delivery will not be as good as it should, not always, but in many cases.
The Bottom Line
The combination of IoT and AI creates a force to be reckoned with. There are numerous possibilities this collaboration offers to its users. Here, we’ve described all the relevant points you should understand about this occurrence. We believe you will find the insight useful and informative.
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