THE artificial intelligence he stopped starring in sci-fi films to become a essential tool for the world of work. The impetus 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. By 2030 (at the latest) AI is expected to contribute more than 11 billion euros to the world economy.
In the ArgentinaFor example, the adoption of AI is steadily growing. In 2022 the 19% of companies said they are already using AI and 51% are exploring its use, according to IBM and Morning Consult’s “Global AI Adoption Index 2022” study.
Conversely, the limited capabilitiesTHE lack of experience or knowledge in Artificial Intelligence continues to be the biggest obstacle for adoption in Latin America.
However, AI is increasingly positioned as a new and thriving business opportunities in the labor market in the field of information and communication technologies (IT).
What is artificial intelligence and what is it for?
This technique is based on a set of solutions that take advantage of the computational ability to simulate the problem solving and decision making of the human mind. Combine processing and robust datasets.
It covers the subfields of machine learning (machine learning) and the deep learning (deep knowledge), which are often mentioned together 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 1950. Since then, it has consistently developed AI-based solutions for a wide range of industries such as banking, telecommunications, and see detail.
Artificial intelligence: where to study
According to Agustín Huerta, SVP of Studios at Globant, in principle it is necessary to distinguish between people who will create a solution that has an AI component as part of it -for example, an e-commerce with a recommendation engine-; of those responsible for the development of these models or for the definition of the “prompts” that will be used to interact with the tenders Great language models (LLM), such as GPT.
In the first group are the software developers such as mobile, web, backend, etc developers. and those in charge of defining experience such as designers, analysts and product owners. Each of them comes from different backgrounds 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 education can come from different branches of knowledge with strong mathematical foundationssuch as physics, mathematics, various engineering and even bioinformatics.
This rapidly growing technology, according to various specialists, requires prior knowledge such as programmingautomation and data processing to have a solid foundation.
However, as with other emerging techniques such as cyber security, cloud or data analyticsa person with university education in any discipline can today aspire to major or train in Artificial Intelligence if they take it training or studies which have solid foundations.
Currently, the American company IBM offers through the free and 100% free online platform call IBM SkillsBuild more than 1,000 courses in different languages, including Spanish, both for students and teachers of schools or universities, and for adults looking for work or active in the world of work.
Some of these courses available offer badges or digital credentials valuable to enter the current job market.
This company has a clear goal: to train 30 million people worldwide, by 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 about 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 industry leaders 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 orientation in 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 perform a masters, postgraduate or bootcamp specialized in the field of artificial intelligence. 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 universities like Stanford. Locally, 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 UBA.
“If I have to recommend only one introductory course -and one free-, the answer has remained the same for years: the course of andrew ng (AI pioneer, formerly of Google and Baidu and founder of Coursera). It’s called Machine Learning by Andrew Ng of Coursera. It is subtitled in many languages and more than 4 million students have already taken it,” he adds.
Artificial intelligence: how it can be applied
Currently, any company in any industry can use Artificial Intelligence. There are several cases of this technology, which is already working positive results in cyber security or systems that help security experts predict or detect cyber-attacks in real time.
However, industries with the most processes or customers have the greatest potential for growth in the use of this technology. For example, virtual assistants, also called chatbots, have provided rapid results in supporting human agents and decongesting customer services.
The example that is on everyone’s lips today about the use of Artificial Intelligence -called generative- is undoubtedly Chat GPTby Open AI, which recently partnered with Microsoft to power the Edge web browser.
This development has not only allowed a daily approach to the technology, but has also brought the possibility of creating content through a generative model called GPT (which has several versions). This daily approach has allowed a practically domestic use of AI and has favored the boom that this technology is experiencing lately.
Other industries, such as the biopharmaceutical one, have benefited from the specific use of this product accelerate 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 experienced 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 artificial intelligence models related to user segmentation and appropriate recommendations,” added Agustín Huerta.
He added: “To moderate spam or inappropriate content, language processing models are used to determine the tone of comments and thus their intent.”
Globant is just 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 operations.
“With artificial intelligence, programmers can be faster and more creative, and our customers can test new products faster and more efficiently,” concluded Agustín Huerta.
The latest data collected by Infojobs ensures that job offers related to artificial intelligence have increased by 31% in the last year. Nearly 1,500 vacancies had been posted by the end of 2022.
Linda Price is a tech expert at News Rebeat. With a deep understanding of the latest developments in the world of technology and a passion for innovation, Linda provides insightful and informative coverage of the cutting-edge advancements shaping our world.