2023-04-28 19:52:47
Lately, artificial intelligence (AI) has given a lot to talk about due to the doubts generated by the rapid advances of these technologies, especially in the workplace.
One of the questions people ask the most it is about the professions that will have the most job possibilities in the near future.
It is important to clarify that, according to the AMETIC IA Observatory, there is a talent gap that the labor market cannot cover on its own, which has led to “by 2024, 40% of organizations are aiming to provide their own analytics training initiativesa general recommendation is to encourage the creation of internal talent, especially for functional profiles”.
From this it is concluded that there is a lack of people who have full knowledge of new technologies in artificial intelligence. Some of the roles that are becoming more important and would generate both work and good remuneration due to the supply of jobs for people trained in artificial intelligence and the low demand for professionals to fulfill technical functions.
The most in-demand professions or roles in the AI era:
Data Scientist:
He is a professional who analysis, process and models large amounts of data and then interpret the results to Create practical plans for your organization.
Machine Learning Engineer:
The Machine Learning Engineer is in charge of researching, developing, and designing artificial intelligence systems that automate predictive models. These professionals are programmers who make machines learn and perform specific tasks.
Artificial Intelligence Architect:
They are change agents help companies adopt an AI-friendly mindset. They pragmatically approach the limitations and risks of AI. They are responsible for general digital thinking.
Software developers:
He is the person in charge of develop computer systems and implement them. Software developers write code that is then translated into a functional website or an application.
Data Analysis Translator:
Analysis translators perform, define business problems that analytics can help solve, guide technical teams in creating analytics-based solutions to these problems, and integrate solutions in business operations.
Blockchain Architect
Blockchain architects are in charge of developing systems and applications based on Blockchain technology. Its function is to create a register of digital operations accessible to the public.
Data Engineer:
Data engineers are responsible for define how to manage, organize, transform and store the data necessary in the organization in an optimal way for all stakeholders. They build the technological foundation for data scientists and analysts to perform their tasks.
user experience designer
It is the professional who manages the user experience of a digital product. Its objective is that the user’s interaction with the product is simple and intuitive, thus achieving a good relationship with the brand.
In addition to this, according to the AMETIC IA Observatory, there is a future trend that says that “It is very likely that the sector will demand specialists focused on the regulatory aspects of artificial intelligence. Where we will see a specialization of the roles of government and in law”.
Kai-Fu Lee, president of Sinovation Ventures and its Artificial Intelligence Institute, wrote an article for BBVA in which he emphasized the importance of government entities in this situation.
Lee says that “to gain a competitive advantage in the global race to lead AI innovation concerted government action would be needed: issues such as education reform, job creationthe promotion of entrepreneurshiphe infrastructure development necessary to enable the innovationthe creation of environments where data can be collected reliably and the training of AI application engineers should be considered a priority.”
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