Top 5 Trends in IoT in 2021

A few years ago, IoT was about smart kettles, fitness bracelets, and the system of remote house control. Nowadays, in contrast, it is focused on technologies capable of protecting the mentioned devices because to receive access to the banking accounts of the person, it is enough for a skilled hacker to crack the most vulnerable object. One of the major advantages of IoT is that it can transfer data via the network without engaging humans or computers in the process. New advancements are entering the market each year and change the area’s established perception. Skilled software developers are able to face the issues related to safety and comfort of usage.

Big Data

This is a way of processing and storing big data volumes. They are used, for example, in determining buyers’ activity in the mall, the percent of the audience involved in buying goods thanks to advertising, analysis of road traffic, and creating the weather forecast. It is valuable for predicting the customer’s behavior because the analysis can help define the clients’ digital portrait based on the data regarding online purchases.

SaaS

In this case, you won’t have to upload software; instead, you will receive access to the necessary functions via the Internet browser. The application program package will allow you to manage client relationships, supply chains, and personnel. Tools of effective management are software that will enable you to test, monitor, and measure completed work.

For example, Google Analytics is software for analyzing work quality and audience engagement. With it, you can measure traffic metrics on your site, divide all visitors into categories, and group them depending on what you want to offer them or what data to get. Let’s say you have created an online magazine. Google Analytics can help you determine which countries your audience is from and in which topics it is interested.

Cybersecurity

Privacy and security issues become especially relevant when we talk about the IoT. On the one hand, the devices let us learn about our habits indirectly; on the other hand, the industrial IoT works with complex equipment, the failure of which can lead to big problems. New safety standards are being introduced for both technology and processes. Systems include more and more built-in methods that reduce the number of bugs during setup and operation, and the search for new approaches continues to develop.

Edge Computing

Usually, in the IoT system, all the information is located in the central point, which sends the signals about certain activities on the specific devices. When it comes to edge computing, the data is processed not far away from the gadget to minimize cyberattacks. All your gadgets obtain certain information, which, in the case of IoT, is transferred to a single computer system. To prevent data leaks, edge computing is implemented; the information related to a certain device is processed in it, without “going” outside.

Neural Networks

This invention, which functions based on machine intelligence capable of learning to solve problems, can be rightfully called one of IoT’s greatest developments. Currently, neural networks are implemented not only on the enterprises when there is a need to process large masses of information within a short period but also in many companies’ work. One of the examples is that several companies like H&M, Allianz Travel Insurance, and Amazon. Some of them monitor the consumers’ behavior based on the goods one is attracted to, analyze it in the framework of the shop’s general audience, and offer the concept of further development and formation of the supply.

Besides, neural networks are able to do the work, which usually demands a lot of time from people. One of the examples is when a company involved in logistics has a programmer who could educate the neural networks to detect the broken and safe boxes. In this way, the robots can independently identify the defective goods and add this information to the general list.

Concluding Thoughts

When thinking about the general number of IoT devices, we can readily say this technology will surely change the world. Data gathering offers numerous advantages to businesses, yet, it can’t predict customer behavior itself. That’s when the software engineers come into play and teach the AI to make critical decisions.

If you are interested in IoT implementation — you can read our article about IoT startups that took over the world.