Wondering what to expect in the upcoming year? Who doesn’t! Although many say that in the world that is changing so fast it is impossible to predict anything, there are some tech trends that are definitely worth watching. I’ve asked some of my experienced colleagues to share their thoughts and predictions. Curious about their answers? Read on!
First, let’s dive into the insights of Grzegorz Futa, one of Clurgo’s most seasoned developers on board who develops critical infrastructure for our client’s proprietary Software Quality Intelligence Solutions.
Grzegorz Futa – Senior Java Developer: We need to constantly develop to keep up
The revolution caused by ChatGPT will gain momentum. Artificial Intelligence will continue to be among the highly desirable technologies regardless of whether it is actually a valuable product and whether it will actually use AI or just simple IF. I expect to see better and better ML models, and more and more efficient tools delivered to the market.
Continuous Self-Education as a Must
This may naturally continue to cause stagnation and reduced demand for entry-level programmers and IT workers. The coming months may show how important it is to understand the subject matter and know the technology, how important it is to be able to solve non-trivial problems, and perform out-of-the-box tasks. This is where AI will slowly replace or support us.
It seems more and more obvious that developers will increasingly have to use efficiently at least one of the clouds and the capabilities they offer – Azure, AWS, GCP. Some of the areas that DevOps dealt with must be assimilated and used by developers.
Another obvious issue important in the coming period is constant development. Last year showed that those who are standing still will not keep up with technology. A part of professional work should be continuous self-education, regularly adding to your knowledge and gaining experience with new tools. Definitely in two ways: specializing in narrow departments or expanding your knowledge into new areas (devops, frontend, architecture).
At the same time, I have a sinking feeling that the coming year may be a key one in terms of cybersecurity development. Will something spectacular happen showing the need to develop this area of IT, or will companies simply put a lot of emphasis and invest time and resources in this area? It’s hard to say, but the growing demand for security, the increasing prevalence of storing sensitive data in wide-area network resources and the increasing frequency of publishing vulnerabilities in IT systems shows that something has to happen soon.
Energy Demand of the Enterprises Processing Huge Amounts of Data
Finally, an unspectacular yet essential thing for the current world in the cloud, a world with artificial intelligence, processing huge amounts of data. Energy! Few people realize how great the energy demand is for the services provided by current software. I think the major players will try harder and harder to find alternative solutions to power their systems with sufficient energy. This will certainly include investments in clean energy, renewable energy sources. Perhaps completely new ways of powering servers that have not been used on an industrial scale so far. I think that for now we can rest calm – the scenario from the first part of the Matrix will not yet materialize.
Piotr Narel, Senior Java Developer: Optimization and adaptation to changing business needs
I’ve also asked another experienced programmer who works on the Clurgo team building solutions for a transnational telecommunications company. Among other tasks, Piotr is developing microservices solutions there to replace the legacy system.
Artificial Intelligence in Cybersecurity
The use of artificial intelligence in cybersecurity will continue to grow. Machine learning algorithms are helping to quickly detect anomalies in network traffic, identify unknown threats, and automatically respond to attacks. More AI-based tools and solutions will be integrated into defense systems to provide more effective protection against advanced threats. The need for a countermeasure solution will continue to grow, as tools attacking the IT system are developed.
Computing Power Demand
In 2024, the trend in computing power demand will continue at a high level. It will be driven by rapid technological development and increasingly sophisticated applications. Several key aspects of this trend will be the increase in requirements related to Artificial Intelligence and Data Analytics. The development of Artificial Intelligence (AI) and data analytics continues to be a major driver of computing power demand. AI-based applications, such as advanced machine learning models and deep neural networks, require significant computing resources to train and operate effectively. Enterprises using large-scale data analytics also need a lot of computing power to process massive amounts of information.
Low-Code and No-Code Tools
The trend of Low-Code and No-Code tools enables faster and more intuitive application development without deep programming. Companies are increasingly using these solutions to shorten software development cycles, reduce costs and increase flexibility in adapting applications to changing business needs. With NO-CODE/LOW-CODE tools, IT solution developers will be able to develop application prototypes much faster, while confronting them with reality much faster. This will reduce the cost and bring a product to market faster.
Internet of Things
Growth of Applications in Industry and Logistics: Industry and logistics will continue to be key application areas for IoT. In 2024, telemetry systems, manufacturing process optimization, and supply chain tracking and management are expected to continue to grow. IoT devices used in various industries will enable companies to respond quickly to changes and increase operational efficiency – while bringing in higher profits. IoT in the Health and Healthcare Sector: IoT applications in health and healthcare are likely to grow to include patient monitoring, medical equipment management and remote health tracking. Medical devices as well as platforms for analyzing big data will start a revolution in healthcare as well as disease diagnosis.