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The industry of the future: what careers and courses are suitable for working in artificial intelligence

The artificial intelligence stopped being the protagonist of science fiction movies to become a key tool for the world of work. The impulse given to it in recent times by companies such as Open AIowner of ChatGPT or DALL-E, or the case of Google with Bard, they highlighted the potential of this set of systems that simplify daily life and also work.

The rise of this technology reaches exorbitant numbers, at least for the European market. According to a report by the Parliament of the European Union, it is expected that by 2030 (at the latest) AI will contribute more than 11 billion euros to the world economy.

In the ArgentinaFor example, AI adoption is steadily growing. In 2022, the 19% of companies said they are already using AI and 51% are exploring its use, according to the ‘Global AI Adoption Index 2022’ study by IBM and Morning Consult.

In contrast, the limited abilitiesthe lack of experience or knowledge in Artificial Intelligence continue to be the biggest barrier for adoption in Latin America.

However, AI is increasingly positioned as a new and thriving opportunity in the job market within information and communication technologies (IT).

What is artificial intelligence and what is it for?

ChatGPT, the Open AI tool that revolutionized the tech world. (Photo: Reuters)

This technique is based on a set of solutions that take advantage of the computing capabilities to simulate the problem solving and decision making of the human mind. It combines computing and robust data sets.

It covers the subfields of machine learning (automatic learning) and the deep learning (deep knowledge), which are frequently mentioned along with artificial intelligence. These disciplines are made up of AI algorithms that seek create expert systems that make predictions or classifications based on input data.

Although the development of this technology seems recent, it actually dates back many years. IBM, for example, first talked about machine learning around the year 1950. Since then it has been constantly developing AI-based solutions for a wide range of sectors such as banking, telecommunications and retail.

Artificial intelligence: where to study

(Photo: Pixabay)

(Photo: Pixabay)

According to Agustín Huerta, SVP of Studios at Globant, in principle it is necessary to differentiate between the people who are going to create a solution that has an AI component as part of it -for example, an ecommerce with a recommendation engine-; of those responsible for developing these models or defining the “prompts” that will be used to interact with the calls Large Language Models (LLM), such as GPT.

In the first group are the software developers such as mobile, web, backend developers, etc. and those in charge of defining the experience such as designers, analysts and product owners. Each of them comes from different fields of training such as computer or systems engineering or careers as a graphic designer.

In the second case, we are talking about what is known today as data scientist and their basic training can come from different branches of knowledge with strong mathematical foundationssuch as physics, mathematics, various engineering and even bioinformatics.

This rapidly rising technology, according to several specialists, requires prior knowledge such as programmingautomation and data processing to have a solid foundation.

However, as with other emerging techniques such as cybersecurity, cloud or data analysisa person with university studies in any discipline can today aspire to specialize or train in Artificial Intelligence if they take training or studies that have solid foundations.

Currently, the American company IBM offers through the free and 100% online platform called IBM SkillsBuild more than 1,000 courses in different languages, including Spanish, both for school or university students and teachers, as well as for adults looking for work or active in employment.

Some of these courses available offer badges or digital credentials valuable to enter the current job market.

This company has a clear objective: to train 30 million people in the world, by the year 2030, in emerging technologies, including artificial intelligence.

“The most important recommendation is to bet on constant learning. Spending time specializing in a technology requires not only learning what already exists, but also constantly updating knowledge as new cases, tools, and uses emerge,” said Román Zambrano, CTO IBM Argentina, Uruguay and Paraguaydaily Clarion.

Other leaders in the sector agree that professionals are needed with strong STEM knowledge (Science, Technology, Engineering and Mathematics). This type of scientific-technological knowledge can be a good basis for entering the world of artificial intelligence.

On the other hand, specialists agree that the best option is in the orientation to physics, computer science or telecommunications are some examples of the starting point that those interested in training in AI can take.

After this training, it is best to carry out a master, postgraduate or bootcamp specialized in the field of AI. It is precisely these studies that provide the necessary more specific knowledge on the subject.

“In the online world there are numerous courses, many free, taught by top-tier universities such as Stanford. At the local level, a good start can be the School of Live Data”, acknowledged Gustavo Guaragna, CEO of Snoop Consulting, who also highlighted the Data Science degree at the UBA.

“If I have to recommend only an introductory course -and a free one-, the answer remains the same for years: the course of andrew ng (AI pioneer, former Google and Baidu and founder of Coursera). It’s called Machine Learning By Andrew Ng from Coursera. It is subtitled in many languages ​​and has already been taken by more than 4 million students,” he adds.

Artificial intelligence: how it can be applied

(Photo: Reuters)

(Photo: Reuters)

Currently, any company in any sector can use Artificial Intelligence. There are multiple cases of this technology, which is even already delivering successful results in cybersecurity or systems that help security experts predict or detect cyber attacks in real time.

However, the sectors with the largest number of processes or customers have more potential for growth in the use of this technology. For example, virtual assistants, also called chatbots, have delivered quick results in supporting human agents and decongesting customer services.

The example that is on everyone’s lips today about the use of Artificial Intelligence -known as generative- is undoubtedly ChatGPTfrom Open IA, who recently teamed up with Microsoft to power the Edge web browser.

This development not only allowed a daily approach to technology, but also brought the possibility of creating content through a generative model called GPT (which has different versions). This daily approach allowed a practically domestic use of AI and favored the boom that this technology is experiencing lately.

Other industries, such as biopharmaceuticals, have benefited from using it specifically for expedite drug discovery and development; and to reduce research costs and failure rates in clinical trials.

According to an IBM study, 99% of organizations using AI for virtual agents saw increased user satisfaction.

“Although this technology is considered new, the truth is that it has been used in different industries for quite some time. For example, the algorithms that personalize the content we see on social media are based on AI models linked to the segmentation of users and appropriate recommendations”, added Agustín Huerta.

He added: “To moderate spam or inappropriate content, language processing models are used to determine comment tones and thus their intent.”

Globant is precisely one of the local pioneers in the field of AI. In 2015 they founded the first of their studios and have been implementing this technology for years in the services they offer to other companies, as well as in their own operation.

“With AI, programmers can be faster and more creative, and our clients can test new products more quickly and efficiently”, completed Agustín Huerta.

The latest data compiled by Infojobs ensures that job offers linked to artificial intelligence increased by 31% in the last year. At the end of 2022 there were almost 1,500 vacancies published.


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