AI systems: how new technologies are changing IT professions

AI systems will change the professional world as well as the spheres of activity of IT specialists themselves. AI will take on daily activities and even programming algorithms. Industry-specific knowledge and consulting skills will be needed in the future. It will also have an impact on the education and training of young professionals. Artificial intelligence, is taking on increasing public awareness in connection with the Corona Pandemic.

AI Systems: the movement into everyday life

Thus, the Corona crisis may become the engine for further development of artificial intelligence. The topic is not new, of course. Learning algorithms have long found its application in everyday life – in the form of navigation systems and voice assistants. The inclusion of storage on cloud platforms and the high speed of processing also makes AI economical for companies.

Simply automation alone can already replace many daily processes, repeated tasks that tire people out. However, AI can do much more: through machine learning and experience, algorithms can work with unknown data and find regularities.

Artificial intelligence systems knowledge and industry knowledge are becoming increasingly important


This not only leads to a very wide range of specializations and experience for AI model developers and programmers. IT consultants and business analysts will also need the necessary knowledge to introduce artificial intelligence to potential users.

The next step is joint search of exact variants of use in the company and development of suitable model for it. Companies need support for variant analysis and effort assessment: what volumes of data are needed and are they of good quality? If not, how much data will it take to prepare the data? How much time do we need to plan for “training” chat bots?

AI systems: IT knowledge is not enough alone

The AI model must also correspond to the application. Sub-symbolic methods, such as neural networks, are extremely effective, for example, they are appropriate for image identification, but their solutions are not understood by people. IT know-how alone is not enough. In order to provide the right advice and be able to communicate with users, IT professionals also need to know the specific processes, business environment and legal demands of the relevant industry.

At the same time, based routine IT activities will also be performed using AI algorithms. This can affect, for example, the user interface design as well as the basic discipline called programming.

IT specialists will be able to better support companies in the AI field if they obtain a basic knowledge of AI capabilities and systems, consulting and problem-solving skills, and specialized industry knowledge.