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Artificial Intelligence

Artificial Intelligence: How it Works and its Applications

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Even today, many people relate Artificial Intelligence (AI) to the great dominance of machines over human beings. But in fact, the use of this technology helps solve a variety of problems, from the most routine to the most complex. 

AI refers to a series of intelligences that are similar to humans, but with a mechanism behind their operation. Its functionalities are numerous and it can be used in many fields, such as digital marketing. 

AI has arrived to revolutionize the entire market and the way we human beings live and work. However, the big difference we have in relation to the effectiveness of these machines is precisely our creativity when faced with different situations. Read on and find out more!

What is Artificial Intelligence?

Artificial intelligence is the branch of computer science that simulates human intelligence in machines. Its application allows interaction between the most varied systems, making them learn through experience, perceive changes and adjust to them.

To perform its function effectively, AI needs other complementary technologies, such as natural language processing, speech recognition and machine learning.

An example of AI that is present in everyday life is the famous service bot, also known as a Chatbot. It makes the role of AI visible, since it performs a task that could be large-scale in a few minutes, simulating human service and reducing working time.

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History of Artificial Intelligence

It is estimated that Artificial Intelligence originated around 64 years ago from scientific studies. At the time, it was not imagined what it would be capable of achieving, nor what proportions of innovation it would bring.

Scientists Herbert Simon and Allen Newell were the creators of this technology, inaugurating the first academic laboratory dedicated to artificial intelligence at Carnegie Mellon University.

The first forms of AI made it possible, for example, for computers to play against humans and even defeat them!

This is what happened to world chess champion Garry Kasparov, who lost a match in 1997 to a computer called DeepBlue, created by the International Business Machines Corporation (IBM).

Today, this type of technology is no longer restricted to leisure and entertainment; on the contrary, it has become a solution to various problems and is present in different areas, forming part of people's personal and professional routines.

Meet Tess AI, the Pareto AI

Tess AI is the first solution provider in the orchestration of Artificial Intelligences, developed by Pareto to be a reliable and brilliant technology that unites the main global AIs in a single tool.

It uses the most recognized AI models available on the market, combining the power of more than 200 AI algorithms to generate texts, images, codes and much more with tremendous speed.

The process is simple, just provide a theme or idea of what you'd like to produce, and the AI-based generator will do all the rest.

Here's an example of a script for Live Streaming on Instagram, one of the features generated by Tess AI:

Get ready to overcome all the challenges of the digital age with the Tess AI Platform. Register for free and be part of this technological revolution that will turn your business into a real success.

How does Artificial Intelligence work?

The operation of an Artificial Intelligence robot is based on the combination of volumes of digital data and intelligent algorithms, thus enabling the system to read and interpret patterns and information in order to learn automatically.

However, for this learning to take place, it is necessary to work with different complementary technologies: Machine Learning, Deep Learning and Natural Language Processing (NLP).

Find out more about them!

Machine Learning

Machine Learning is the ability of a machine or even a system to learn without the need for prior programming. This is because machine learning is able to make predictions by identifying patterns and thus helps companies in various sectors.

A good example of this is the product suggestions that consumers receive after making a purchase on a website. In this situation, Machine Learning uses a database of millions of interactions on the platform to generate a result that is more likely to have a positive impact on the customer.

Deep Learning

Deep Learning is a type of deepening of Machine Learning, but with the ability to make the system's learning much more complex and intelligent so that more assertive results can be obtained.

This type of technology uses complex neural networks, following the same logic as the connection between neurons in the human brain. It allows the system to learn and interpret more difficult and voluminous patterns and is applied, for example, in image and speech recognition. Learn more about Adversarial Generative Networks.

Natural Language Processing (NLP)

In order for machines to actually interact and communicate with human beings in a natural way, Natural Language Processing is necessary in their construction. NLP is the use of Machine Learning technology for the system to recognize, analyze and find patterns in order to generate a more human language and expression for AI.

With the advance of this technology, it will be possible to reach a stage where machines and human beings can communicate in a natural way. This science is currently working in areas such as sentiment analysis and algorithms that identify the content of a text or customer service chatbots.

Benefits of Artificial Intelligence in Business

The use of Artificial Intelligence helps both organizations and ordinary users in their daily routines. The benefits are diverse and you can learn about some of them below.

Increased Productivity and Accelerated Transformation 

Once the first automation is implemented using Artificial Intelligence, some of the main tasks and repetitive processes are no longer carried out manually.

As a result, there will be a gain in productivity, since the organization's teams will be focused on more strategic activities.

What's more, the first automation will open the door for other automations to be implemented more quickly. This is because employees are already aligned with the company's culture and strategy.

Reduced Risks and More Accurate Results

An Artificial Intelligence solution aims to mitigate errors, since decision-making is based on a high statistical coefficient.

This way, processes will improve over time and, consequently, bring more results.

As a result, thanks to the results obtained as it carries out the planned actions, Artificial Intelligence has the ability to reduce failures and bottlenecks in production processes.

As it reduces errors and increases operational efficiency.

Cost Savings and Systems Integration

An important point is that by implementing automation with Artificial Intelligence, your processes tend to have better results and lower costs.

Mainly because they are designed to reduce existing bottlenecks with optimized solutions, but also because they save hours worked on repetitive activities, making better use of employees' time.

Furthermore, if other automations need to be expanded or implemented, they end up being integrated into a single system so that they can communicate with each other. This way, all sectors of the company are aligned and moving forward in an orderly fashion.

We've listed just a few of the main advantages of this technology. Are you curious to find out more? Access the full list in our article on the benefits of Artificial Intelligence in companies.

What are the Types of Artificial Intelligence?

To simplify the concepts of the types of Artificial Intelligence present in everyday life, we have selected the three types of Artificial Intelligence and their related applications. Check them out!

Artificial Boundary Intelligence (ANI)

The aim of this type of Artificial Intelligence is to store a large amount of data and information, as well as being able to carry out more complex tasks. However, it is extremely focused on what has been assigned in its programming and has two subcategories of division:

Reactive Machines

Their resources are more limited, since they were the first types of Artificial Intelligence and do not store a large amount of data. In addition, they react to only a few external stimuli according to how they were initially configured.

Limited memory

They are able to store more information and use this data to make decisions. Streaming services, for example, use this type of AI to generate personalized recommendations on their platforms.

Artificial General Intelligence (AGI)

AGI has the ability to carry out tasks similar to those performed by human beings. It can learn from techniques such as machine learning and reacting to specific external stimuli. There are two further subdivisions in this category:

Aware machines

They are those who are able to understand the external stimuli they receive and thus process the information coherently.

Self-aware machines

Self-aware machines have the ability to be aware of themselves and their surroundings, making it easier to understand external factors and stimuli.

As an example of how it works, we can cite a moment when the feeling of sadness is present.

Often, when we're feeling down, we shed tears and so, when we see someone in the same way and with the same attitudes, we assume that they're sad too.

Superintelligence (ASI)

This type of artificial intelligence is only an assumption for the future of humanity and is still being studied and developed by scientists.

The expectation and prediction of this category is that it will surpass the intelligence of human beings in every respect and will be able to perform feats that would be impossible for humans.

For this reason, scientific debates are currently focused mainly on AI, as this technology could revolutionize the world and the way we relate to each other.

5 Examples of Artificial Intelligence in Everyday Life

Still curious to see how Artificial Intelligence works in practice? Here are 5 examples of the technology that are part of our daily lives. To see the full list, go to the article with 17 Examples of Artificial Intelligence in Your Daily Life.

1. Virtual Assistants

If you think that Artificial Intelligence is only about optimizing tasks or processes, you're wrong. The technology goes much further; in some cases it can work alongside virtual assistants such as Siri, Cortana, Alexa and Google Assistant.

The A.I. techniques used by these virtual assistants allow for an exchange of information and actions. The user can request a certain demand, the Artificial Intelligence validates the entire interaction history and adapts to deliver what has been requested.

2. E-mail platforms

In case you didn't know, most email services, such as Gmail and Outlook, use Artificial Intelligence to map possible SPAM messages and prevent your inbox from getting too full.

The spam filter has a series of rules and algorithms that minimize the amount of spam that can reach the user. This not only prevents unwanted ads, but also helps protect the user from credit card fraud or identity theft.

3. Search engines

Artificial Intelligence allows the search results you perform on Google to appear faster and faster and for the search engine to recognize synonyms, related subjects, similarities between letter sounds, etc.

Thus, the more searches are carried out, the more the A.I. learns about search intent and behavior, enabling a scenario of improvement for users.

4. Streaming platforms

Have you thought about how streaming platforms manage to increase users' time on screen?

This is because platforms such as Netflix, Deezer and Spotify are correlated to the system of recommending personalized catalogs to customers, using A.I. so that the referrals made are relevant.

These platforms, which we mentioned above, take into account what you have already seen and liked. They essentially learn from the data you provide and then use their own database to provide the content that best meets your expectations.

5. Facial recognition

Facial recognition is an Artificial Intelligence feature used in various devices, providing security and convenience for users. It is used, for example, in mobile devices and even in more complex airport check-in systems.

For the feature to work, it needs to use A.I. and machine learning. In the configuration stage, it scans the user's face using numerous points as markers to help it recognize the face from many different angles.

This allows the user to unlock their phone with their face in many different situations and lighting environments, while at the same time preventing someone else from doing the same.

Artificial Intelligence Applications in Organizations

Now that you know what types of Artificial Intelligence are, their benefits and examples of their use in everyday life, check out the applications of the technology within organizations in different segments.

Banking and Finance

One of the first to adopt Artificial Intelligence is the banking and financial sector.

From chatbots offered by banks to smart robots from Aidya and Nomura Securities for autonomous and high-frequency trading, the uses are numerous and so are the benefits.

In addition to intelligent chatbots, features such as digital payment consultants and biometric fraud detection mechanisms increase the quality of services for a wider customer base.

The implementation of A.I. in the banking sector is constantly being implemented to rework companies in the sector, provide greater levels of usefulness and more personalized experiences for their customers, reduce risks and increase opportunities involving the financial engines of our modern economy.


One of the main profound impacts that AI has created is in the area of Health.

A device as common as a Fitbit or an iWatch, for example, collects a lot of data such as an individual's sleep patterns, calories burned, heart rate and much more, which can help with early detection, personalization and even diagnosis of diseases.

This device, when powered with A.I., can easily monitor and notify abnormal trends. It can even schedule a visit to the nearest doctor on its own and is therefore also of great help to doctors who can get help with decision-making and research with AI.

It has been used to predict ICU transfers, improve clinical workflows and even identify a patient's risk of hospital-acquired infections.


In the education sector there are a number of problems that can be solved by implementing A.I. Some of these are automated marking software, content retention techniques and suggestions for necessary improvements.

This can help teachers monitor not only the academic, but also the psychological, mental and physical well-being of their students, positively impacting their overall development.

Technology can also help extend the reach of education to areas where quality educators cannot be physically present.


Artificial Intelligence is changing many professions, even the most primitive and basic ones such as agriculture. The use of A.I. in agriculture is often attributed to agricultural robots, predictive analysis and crop and soil monitoring.

Drones are also used to spray insecticides and detect weeds on large farms. This is helping countless companies to better manage their farms.

Technology has also improved agricultural production and enhanced real-time monitoring, harvesting, processing and marketing.


With increasing development in the field of Artificial Intelligence, robots have become more efficient at carrying out tasks that were previously very complex.

The idea of complete robotic process automation is usually only realized with the help of A.I., where the system can not only perform the specified task, but also monitor, inspect and improve it without any human intervention.

A.I. in robotics helps robots to learn processes and carry out tasks completely autonomously, without any human intervention. This is because robots are designed to perform repetitive tasks with maximum precision and speed.

The technology is introducing flexibility and learning capabilities to previously rigid robot applications. These benefits are expected to bolster market growth.


The application of Artificial Intelligence in Marketing allows automated decisions to be made based on data collection, data analysis and additional observations of audiences or economic trends that may affect marketing efforts.

A.I. is often used in marketing efforts where speed is of the essence. A.I. platforms use customer data and profiles to learn the best way to communicate with customers and then deliver personalized messages at the right time, without intervention from marketing team members, ensuring maximum efficiency.

For many of today's marketers, A.I. is used to augment marketing teams or to perform more tactical tasks that require less human nuance. AI marketing use cases include:

  • Data analysis;
  • Identification of anomalies;
  • Natural language processing;
  • Paid media management;
  • Automated decision-making;
  • Content generation;
  • Real-time customization;
  • Campaign budget management, etc.

To learn more about this topic, read our full article on 5 Applications of Artificial Intelligence in Marketing and Sales and understand how technology can optimize your company's results.

Based on all the applications we've presented throughout this article, it's clear that artificial intelligence is changing the way we live and work at an ever-increasing rate.

That's why it's important that you keep up with the trends and news of digital transformation in the corporate environment so that you can stand out in your business!

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