All economic sectors are currently undergoing accelerated digital transformation. This forces workers to master computer skills and competencies closely linked to information and communication technologies (called ICTs) and generative artificial intelligence (AI).

There are competencies or skills that are essential for the new professions that are emerging: adaptation to change, analytical thinking, creative thinking and flexibility, and that can prepare us for all the jobs that will be created in the coming years, especially in the green economy . and the data economy, in artificial intelligence, engineering, cloud computing and product development.

According to the World Economic Forum , six in ten workers will need training by 2027, but only half of employees have access to adequate training opportunities currently. At the same time, a report published by this organization estimates that, on average, a worker already needs to update 44% of his or her skills.

Creativity, analysis and data

The most important skills for workers in 2023 are analytical thinking and creative thinking, and this will continue to be the case in the next five years.

At the same time, technological knowledge and IT skills, particularly in the area of ​​artificial intelligence and big data, will become more important, and companies’ training strategies will focus on this over the next five years.

What areas does it affect?

The question that anyone will be asking themselves at this moment is: will the digital revolution affect my professional field? Whether I am a nurse, lawyer or administrator, how does the emergence of robotics affect me?

The answer to both questions is the World Economic Forum’s Future of Work report (mentioned above), which predicts that almost a quarter of jobs (23%) will change in the next five years. It is very likely that the answer will be yes to these people, and in less time than expected.

Therefore, given the non-linearity of careers (we can no longer be sure that if we study law we will retire as lawyers), continuous updating is required throughout our professional life, and many of these updates will have to do with the technology-related competencies, such as computer skills.

But along with the reinforcement of digital and technological skills, the mentality of workers has to change and the constant need for training has to govern the principles of any employment relationship in this scenario of accelerated technological emergence.

This means being predisposed to training throughout our professional life, learning, unlearning and relearning, in the company in which we develop our professional project at that moment.

What computer knowledge or skills are needed?

The management of enormous amounts of data in all business areas of companies means that programs must be used that are capable of analyzing this volume of data and providing business solutions adapted to that information.

Big data requires dynamic and specialized professionals who come from various degrees such as engineering, economics, mathematics and science, but also linguists, philosophers, journalists, lawyers, health professions, etc.

In any profession, it will be necessary to master computer skills to have the capabilities to identify, capture, transform, analyze and interpret data to drive value and applied innovation in various industries, such as finance, health, consumer goods. or technology.

This requires the use of knowledge of statistics and econometrics. Some of the basic programs are R, R-Commander, Power BI, R-Studio .

For database administration and data extraction, programs such as PostgreSQL, MySQL, Power Query _and _Knime . For data metrics, Power BI . The use of Python is also very common .

If you want to apply artificial intelligence to process data in any sector, we can use the software: R (ML), R, IBM Watson (PLN), Power Automate (RPA) .

Regarding the application of generative artificial intelligence (GAI), there are already more than 100 applications that can help us in our most basic tasks on a day-to-day basis: writing, professional presentations, automating repetitive administrative tasks, etc. Although we only know the famous free application: CHATGPT . There are many: Audio to Audio (A2A), Audio to Text (A2T), Brain to Text (B2T), Image to Text (I2T), Text to 3D (T23D), Text to Code (T2C), Text to Motion (T2M) . ), Text to Video (T2V), etc.

Review offer requirements

The most common thing is that in the job offers that we currently find on any selection portal, these computer skills are already reflected as keys to being chosen in that selection process.

Therefore, anyone who, regardless of their degree, wants to improve their technological competence has to be concerned and show affection for data, statistics, etc.

Although it is true that these were issues that practically only engineers mastered due to their curricular training, right now any recent graduate, regardless of the field of knowledge, without knowledge of data will adapt poorly to the reality of companies.

Therefore, hybrid profiles with professional experience and that manage data at all levels are those that respond to the needs of the current market.

As in the principles of natural selection of Charles Darwin’s Origin of Species , only those who are capable of combining the broadest knowledge of their professional career with computer skills that help develop the business areas of the companies will survive in the work environment. companies.