In connection with humanity’s new challenges, we live in a world where the digital space surpasses all other areas several times. The global digital population has grown to five billion people (more than 60% of the world’s population). Thus, the latest technologies and emerging technology trends are becoming increasingly important. Therefore, to remain a sought-after specialist, it is necessary to follow modern technological trends, which will gain momentum yearly.
Below is a list of 5 hot tech trends to keep an eye on and make the most of them to advance your career.
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Trend # 1. Artificial Intelligence (AI)
Thanks to developments in this field, achievements that were previously only in the realm of science fiction are gradually turning into reality. Artificial intelligence, or AI, continues to be one of the emerging technology trends.
AI is already known for its excellence in image and speech recognition, navigation apps, smartphone personal assistants, sharing apps, and more. In addition, artificial intelligence will be used to analyze interactions to identify critical connections and insights to help predict demand for services such as hospitals, making better resource use decisions.
Mastering Artificial Intelligence will help you get jobs like AI Research Scientist, AI Engineer, and AI Architect.
Trend # 2. Datafication
This trend is getting more and more developed due to our new reality and the increase in data that requires deeper analysis. Datafication is the transformation of routine responsibilities and tasks into data-driven technology. In short, datafication turns everything in our lives into devices or software powered by data that can be tracked, controlled, and analyzed. Thanks to this technology, our data will be stored longer than we can remember!
Datafication increases the need for IT professionals such as Big Data Engineers, Robotics Engineers, IT Architects, Business Intelligence Analysts, and Data Scientists.
Trend # 3. Digital Trust
People are adapting at a faster rate to various devices and technologies in everyday life. This naturally leads to the fact that trust has been built towards digital technologies. We are accustomed to relying on them. Therefore, we believe technology can create a safe, secure, and reliable digital world. In turn, this helps companies invent and innovate with confidence. And this entails the need for new specializations, including cybersecurity and ethical hacking. They are necessary to create a safer space for digital users.
In these two specializations, there are many jobs to find from junior to senior levels: Cybersecurity Analyst, Security Engineer, Security Architect, Security Automation Engineer, and Network Security Analyst.
Trend # 4. Genomics
Can you imagine the technology studying your DNA and using the research results to improve your health, helping you fight disease and, in many ways, prevent it? It’s about genomics. This technology peruses upon the make-up of genes, DNAs, their mapping, structure, etc. In addition, it helps to quantify your genes and leads to the discovery of diseases or any possible problems that can later grow into health problems.
When it comes to specializations such as genomics, we may think of various technical and non-technical roles. Job opportunities in this field include Bioinformatics Analyst, Genome Research Analyst, Full Stack Developer, and Software Engineer.
Trend # 5. Quantum Computing
A stunning tech trend called quantum computing takes the quantum phenomena advantages such as superposition and quantum entanglement. Thanks to its ability to easily query, monitor, analyze and act on data, regardless of the source, it is also involved in preventing the coronavirus’s spread and developing potential vaccines. Drug development and manufacturing, banking and finance, managing credit risk, high-frequency trading, and fraud detection are important fields where quantum computing is applied.
If you are interested in this IT industry and want to develop it, you will need experience in quantum mechanics, linear algebra, probability, information theory, and machine learning.
