Discover some professions that already use artificial intelligence in their daily lives. – MPI

Discover some professions that already use artificial intelligence in their daily lives.

Artificial intelligence (AI) is emerging as the dominant trend at technology fairs around the world, promising to revolutionize people’s daily lives. Its impact spans a wide range of areas, enhancing various essential functions.


Standing out as the main attraction of the world’s largest technology fairs, such as the Mobile World Congress (MWC) hosted in Barcelona from February 26 to 29, artificial intelligence is redefining the limits of what’s possible.

The Mobile World Congress (MWC) is one of the world’s largest mobile technology events, bringing together professionals and companies from the sector to present the latest innovations and trends. The MWC attracts thousands of participants from around the world, including industry leaders, entrepreneurs, developers, investors, and journalists.

The event serves as a crucial platform for product launches, technology demonstrations, networking, and discussions on the direction of the mobile industry. Leading telecommunications companies, mobile device manufacturers, infrastructure providers, app developers, and a variety of other organizations present their latest solutions and strategies during the MWC.

While it is already integrated into the daily lives of many professions, AI, according to Débora Herdeiro, recruitment and selection manager at Luandre, is not intended to replace professionals, but rather to collaborate with them.

“It will be an ally, creating new opportunities for development and facilitating the resolution of simple tasks, such as the creation of spreadsheets,” she argues.

Here are five professions that already benefit from the presence of artificial intelligence in their day-to-day:

Prompt Engineer

Prompt Engineering is an approach aimed at optimizing and personalizing the results generated by language models, such as deep learning-based artificial intelligence (AI) models like GPT (Generative Pre-trained Transformer). This approach is especially relevant for models like GPT-3, which are capable of generating coherent and relevant text based on provided inputs.

The fundamental concept of Prompt Engineering is the strategic use of instructions, or “prompts,” to direct the model in generating specific responses. These prompts are short phrases or words that provide context and guidance to the model about the expected outcome. By formulating them effectively, users can significantly influence the outputs of the model, obtaining more accurate and relevant results for their needs.

Prompt Engineering is a versatile and powerful technique that can be applied in a variety of scenarios and tasks, including text generation, automatic translation, text classification, automatic summarization, and more. It allows users to adjust and customize the outputs of the model according to the specificities of their application, thereby increasing its utility and effectiveness in different contexts.

Although Prompt Engineering offers many benefits, it also requires skill and experience to formulate effective prompts. The prompts need to be accurate, clear, and well-formulated to guide the model in the desired direction and avoid undesired outcomes. Furthermore, Prompt Engineering is constantly evolving, with researchers and practitioners exploring new techniques and strategies to maximize its potential and address specific challenges in AI-assisted text generation.

Quality Analyst

The role of a Quality Analyst in the field of Artificial Intelligence (AI) is crucial to ensure the effectiveness, reliability, and ethics of AI systems. This professional is responsible for evaluating and monitoring the performance of algorithms, models, and AI applications, identifying potential flaws, biases, security issues, or ethical concerns.

The main responsibilities of a Quality Analyst in AI include system testing and evaluation, bias detection in data and algorithms, continuous performance monitoring of systems, ensuring ethics, and interdisciplinary collaboration with data scientists, software engineers, and other professionals.

In summary, Quality Analysts play a critical role in ensuring the quality and reliability of AI systems, helping to mitigate risks, promote transparency, and ensure that these technologies are used ethically and responsibly.

Investment Specialist

An investment specialist is a professional who possesses specialized knowledge and experience in various areas related to the financial market and investments. Their main goal is to assist clients in making informed and strategic decisions to maximize their financial returns and achieve their investment objectives.

The responsibilities of an investment specialist may vary depending on the context in which they work. Some may act as independent financial advisors, offering personalized guidance and portfolio management services to individual or institutional clients. Others may work for asset management companies, investment banks, brokerages, or investment funds.

An investment specialist must possess solid analytical skills, comprehensive knowledge of the financial market, the ability to make decisions under pressure, and interpersonal skills to build strong relationships with clients. Additionally, it is crucial that they stay up-to-date with market trends and regulatory changes to provide the best possible service to their clients.

These specialists utilize sophisticated algorithms and predictive models to analyze financial data, identify market trends, make forecasts, and optimize resource allocation.

Scientists and Researchers

The use of Artificial Intelligence in science and research has been revolutionary, enabling significant advances in various areas of knowledge. AI is used to analyze large datasets in fields such as astronomy, biology, medicine, and many others. AI algorithms can identify complex patterns in data that human researchers may not be able to detect, leading to new discoveries and insights.

In the pharmaceutical industry, AI is used to accelerate the drug discovery process, predict the efficacy of chemical compounds, identify potential therapeutic targets, and even design molecules with specific properties, helping to reduce the time and costs associated with developing new drugs. In medicine, AI is increasingly used to assist in diagnosing diseases and medical conditions, aiding doctors in making more accurate and faster decisions.

As technology continues to advance, we are likely to see even more innovations and discoveries driven by the intelligent application of AI in various areas of human knowledge.

Data Information Security

Artificial Intelligence plays an increasingly important role in information and data security, offering a variety of tools and techniques to protect systems, networks, and confidential information against cyber threats.

AI algorithms are used to identify patterns and suspicious behaviors in networks and computer systems, capable of detecting malicious activities, such as intrusions, malware attacks, and data breach attempts, based on real-time analysis of network traffic, event logs, and other relevant data.

It is also used to detect and prevent financial fraud, identifying fraudulent transactions, patterns of suspicious activity, and attempts to compromise online payment systems and transactions. These systems are often trained with large historical data sets to learn to distinguish between legitimate and fraudulent transactions.

AI is utilized to develop advanced malware protection solutions, including antivirus and advanced threat detection systems. AI algorithms can analyze the behavior of files and processes in real time to identify and block malware threats, even those not yet identified by traditional malware signatures.

As cyber threats continue to evolve, AI becomes increasingly essential to protect organizations and individuals against malicious attacks and data breaches, offering advanced tools to detect, prevent, and respond to a wide range of cyber threats.

Danielle Berry
Danielle Berry

an editor at MPI since 2023.


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