Alexei Kuzovkin. Top strategic IT trends in 2020

Alexei Kuzovkin is an innovator and investor. He is director general of Infosoft, and the former chairman of the board of Armada group. In this article, Alexei shared his views on the strategic IT trends in 2020.

Although 2020 has just begun, its key trends can already be predicted with a high level of accuracy. We can hardly expect any revolutionary change, although evolutionary shifts can also be quite tangible, even if they are not immediately apparent. So far, IT development can be described as an increasingly comprehensive and integrated process, where all the key trends are closely intertwined or stem from one another.

The expansion and adoption of 5G networks will be one of the main trends. Despite all the hiccups, challenges and safety concerns that have yet to be addressed, it is already clear that 5G is here, and its coverage and roll-out across the world will advance at an exponential rate. This also applies to Russia, which had an advanced telecommunications network to begin with.

Still, it will be a long time before all the security concerns regarding 5G are lifted.

The transition to 5G will lead to the introduction of IoT/IIoT in various sectors. The Internet of Things will definitely help streamline various processes and create many new services. Here again, the adoption of IoT is hindered by security concerns, standardization deficiencies, and the fact that many devices are obsolete but remain in use long after their lifecycle expires, putting whole networks at risk. The development of the Industrial Internet of Things also faces security concerns, obsolete hardware, architectural shortcomings, etc.

In addition, there is a steady hyperautomation trend on the market. This term means using machine learning, canned software and automation solutions for performing tasks that used to demand human involvement.

Big data is another important trend. Once again this segment inspires high hopes, especially considering the growing popularity in 2019 of real time analytics and demand for machine learning and artificial intelligence. Nevertheless, this can hardly bring about any major changes. Machines are good at detecting repeating patterns, while human input remains indispensable and cannot be replaced by AI whenever a creative solution is needed.

Edge Computing remains a relatively novel data processing paradigm when some of the computational capability is transferred from the main data center (the core) to the periphery or the "edge" closer to the location where the primary data originates. As AI and machine learning solutions gain in popularity, processing growing data volumes becomes more challenging. Companies will increasingly use Edge Computing in order to balance the load on their networks.

However, this will also require a special approach to data security.

Using AI technology in the infosec sector will be another major trend. This has to do with the growing volume of data, the extended attack surface due to the introduction of IoT, as well as the growing creativity of cyber criminals. Unfortunately, cyber criminals may also start using AI, and infosec executives and experts will have to deal with this as well.