Top IT trends for 2021

October 2020

Top IT trends for 2021

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Analysts from the Gartner, Inc. have announced their vision of future trends in the IT industry in 2021. The crisis caused by the COVID-19 has pointed to the imperfections of existing infrastructures and systems and thus, helped to develop more advanced solutions for businesses and, of course, ordinary customers. Here’s our short review of them.

Internet of Behaviours 

While doing their everyday work on their devices people leave a lot of marks showing how exactly they use them. These “marks” or patterns may be called “digital dust” of our everyday life. The IoB combines existing technologies that focus on the individual directly – facial recognition, location tracking, and big data for example – and connects the resulting data to associated behavioral events, such as cash purchases or device usage.

Organizations may use this data to influence human behavior - to monitor whether the employees are wearing masks or not, with the help of computer vision, for example.

While the IoB is technically possible, there will be extensive ethical and societal debates about the different approaches employed to affect behavior.

Total Experience

“Last year, Gartner introduced multi-experience as a top strategic technology trend and is taking it one step further this year with total experience (TX), a strategy that connects multi-experience with the customer, employee, and user experience disciplines,” said Mr. Burke. “Gartner expects organizations that provide a TX to outperform competitors across key satisfaction metrics over the next three years.”

These TX strategies will become more versatile and distributed and this way it will improve the experience of multiple units while using the whole system. All thanks to COVID-19, as expected.

Privacy-Enhancing Computation

During this whole “Stay safe, stay home” situation it is obvious that the data which is used for real work is in more danger than ever. And that is why common data-at-rest security measures are not as effective as they meant to be. There will be a trend to secure and protect data in the process of working on it. Gartner believes that in 5 years half of the large-scale businesses will implement privacy-enhancing computation for processing data in untrusted environments and multiparty data analytics use cases.

Distributed Cloud

Distributed cloud is the distribution of public cloud services to different physical locations, while the operation, governance, and evolution of the services remain the responsibility of the public cloud provider. This way of creating cloud infrastructure provides way more versatility and flexibility than existing services provided.

By 2025 most of the cloud platforms will use this method to some extent. For example, Microsoft is already making their very brave steps in this field with underwater servers for Azure services. (Здесь должна быть ссылка на нашу же статью про этот подводный сервер)

Anywhere Operations

“Anywhere operations” - means that the customers are supposed to be supported anywhere by the employees from anywhere. It means way more than using Zoom meetings to interact with the customer. It also delivers a unique experience in five areas - collaboration and productivity, secure remote access, cloud, and edge infrastructure, quantification of the digital experience, and automation to support remote operations. And in 3 years about 40% of the companies are to apply “anywhere operations” strategy.

Cybersecurity Mesh

The cybersecurity mesh enables anyone to access any digital asset securely, no matter where the asset or person is located. It decouples policy enforcement from policy decision making via a cloud delivery model and allows identity to become the security perimeter. By 2025, the cybersecurity mesh will support over half of digital access control requests.

Intelligent Composable Business

“Static business processes that were built for efficiency were so brittle that they shattered under the shock of the pandemic,” said Mr. Burke. “As CIOs and IT leaders struggle to pick up the pieces, they’re beginning to understand the importance of business capabilities that adapt to the pace of business change.”

A strategy like this will help the decision-makers to be sure that the model they are using is up-to-date and will provide the ability to create more flexible systems that will ensure the ability to act more precisely in vastly changing situations.

AI Engineering

AI had become the main discussion theme in IT and business industries a couple of years ago and it will become even more important in the next few years.

AI engineering stands on three core pillars — DataOps, ModelOps, and DevOps. A robust AI engineering strategy will facilitate the performance, scalability, interpretability, and reliability of AI models while delivering the full value of AI investments.


Business-driven hyper-automation is a disciplined approach that organizations use to rapidly identify, vet, and automate as many approved business and IT processes as possible. The pandemic has highlighted it even more with the need of fast-moving to the digital recourses. The backlog of requests from business stakeholders has prompted more than 70% of commercial organizations to undertake dozens of hyper-automation initiatives as a result.
“Hyperautomation is now inevitable and irreversible. Everything that can and should be automated will be automated,” said Mr. Burke.

That’s it. These are the trends that will shape the business in the next 5 or 10 years and will disrupt the way of doing things that were in use for too long now.

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