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Artificial Intelligence

Artificial Intelligence and its Application in Companies

By August 15, 2022March 25th, 2024No Comments
Artificial Intelligence: imagem de uma mulher e um homem em um ambiente profissional olhando para o computador.

Even today, many people associate Artificial Intelligence with the overwhelming dominance of machines over humans. But, in reality, the use of this technology assists in solving various problems, from the most routine to the most complex ones.

Artificial Intelligence refers to a series of intelligences that are similar to human intelligence but with a mechanism behind their functioning. Its functionalities are numerous and can operate in many fields such as digital marketing.

In a way, A.I. has come to revolutionize the entire market and the way we humans live and work. However, the major difference we possess in relation to the effectiveness of these machines is precisely creativity in different situations. Keep reading to learn more!

What Is Artificial Intelligence?

Artificial Intelligence is the branch of computer science that simulates human intelligence in machines. Its application allows interaction among various systems, enabling them to learn through experience, perceive changes, and adapt to them.

To function effectively, A.I. requires other complementary technologies such as natural language processing, speech recognition, and machine learning.

An example of A.I. that is present in everyday life is the famous customer service bot, also known as a Chatbot. It highlights the role of Artificial Intelligence since it performs a task that can be of large scale in just a few minutes, simulating human interaction and reducing work time.

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History of Artificial Intelligence

It is estimated that about 64 years ago, Artificial Intelligence originated from scientific studies. At that time, no one imagined all that it would be capable of providing or the scale of innovation it would bring.

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

The earliest forms of A.I. allowed, for example, computers to play against humans and even have the capability to defeat them!

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

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

Meet Tess AI, Pareto’s AI

The Tess AI is the world’s first provider of AI orchestration solutions, developed by Pareto to be a reliable and brilliant technology that combines the leading global AIs into a single tool.

It utilizes the most recognized AI models available in the market, combining the power of over 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 would like to produce, and the AI-based generator will do all the rest of the work.

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

How Does Artificial Intelligence Work?

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

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

Learn more about them!

Machine Learning

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

A good example in this case is the product suggestions that consumers are impacted by 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 positively impact 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 accurate results are obtained.

This type of technology utilizes complex neural networks, following the same logic of 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. Also, learn about Generative Adversarial Networks.

Natural Language Processing (NLP)

For machines to actually interact and communicate with humans naturally, 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 to generate a more human-like language and expression to the AI.

With the advancement of this technology, it will be possible to reach a stage where machines and humans can communicate naturally. Currently, this science operates in areas such as sentiment analysis and algorithms that identify the tone of a text or customer service chatbots.

Benefits of Artificial Intelligence in Companies

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

Increase in Productivity and Accelerated Transformation 

From the moment the first automation is implemented using Artificial Intelligence, some of the main repetitive tasks and processes are no longer performed manually.

Thus, there will be a gain in productivity since the organization’s teams will focus on more strategic activities.

Moreover, the initial automation will open doors for further automations to be implemented more quickly. This is because employees are already aligned with the company’s culture and strategy.

Risk Reduction and Greater Accuracy in Results

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

Thus, processes improve over time and consequently bring more results.

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

Once it reduces errors and increases operational efficiency.

Cost Savings and System Integration

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

Mainly because they are designed to reduce bottlenecks that exist with optimized solutions, but also due to the savings in hours worked on repetitive activities, better utilizing employees’ time.

Furthermore, if it is necessary to expand or implement other automations, they end up being integrated into a single system so that they can communicate. And thus, all sectors of the company become aligned and move in an orderly manner.

Here we have listed only some of the main advantages of this technology. Are you curious to learn more? Access the complete list in our article on benefits of Artificial Intelligence in companies.

What Are the Types of Artificial Intelligence?

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

Artificial Narrow Intelligence (ANI)

The goal of this type of Artificial Intelligence is to store a large amount of data and information, and it can perform more complex tasks. However, it is extremely focused on what was designed 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. Additionally, they react to only a few external stimuli according to how they were initially configured.

Limited Memory

They are capable of storing more information and use this data for decision-making. 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 perform tasks similar to those performed by humans. Its learning can occur through techniques such as machine learning and reacting to specific external stimuli. In this category, there are two other subdivisions:

Aware Machines

These are machines that are capable of understanding 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 the environment around them, thus facilitating the understanding of external factors and stimuli.

As an example of its functioning, one can mention a moment when there is the presence of the feeling of sadness.

Many times when we are emotionally down, we shed tears, and thus, when we see someone in the same way and with the same attitudes, we presume that the person is also sad.

Artificial Superintelligence (ASI)

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

The expectation and prediction of this category are that it will surpass human intelligence in all aspects and begin to achieve feats that would be impossible for humans.

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

Thinking about this future, we have an article on our blog that addresses Future Marketing: The Automation Revolution Is Already Happening.

5 Examples of Artificial Intelligence Present in Everyday Life

Still curious to see how Artificial Intelligence works in practice? Check out 5 examples of technology that are part of our daily lives below. To see the complete list, access the article with 17 Examples of Artificial Intelligence in 2024 for your daily life.

1. Virtual Assistants

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

The AI techniques used by these virtual assistants allow for information exchange and actions. The user can request a specific demand, and Artificial Intelligence validates the entire interaction history and adapts to deliver what was requested.

2. Email Platforms

If you didn’t know, a large part of email services like Gmail and Outlook use Artificial Intelligence to map potential SPAM messages and prevent the inbox from getting crowded.

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 against credit card fraud or identity theft.

3. Search Engines

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

Thus, the more searches are performed, the more AI learns about search intent and behavior, enabling a scenario of improvement for users.

4. Streaming Platforms

Have you ever wondered how streaming platforms manage to increase user screen time?

This happens because platforms like Netflix, Deezer, and Spotify are correlated with the system of recommending personalized catalogs for customers, using AI so that the recommendations made are relevant.

These platforms, 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 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 systems for airport check-in.

For the feature to work, AI and machine learning need to be used. In the setup stage, it scans the user’s face using numerous points as markers to help recognize the face from many different angles.

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

Applications of Artificial Intelligence in Organizations

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

Banks and Finance

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

From Chatbots offered by banks to intelligent robots from Aidya and Nomura Securities for autonomous and high-frequency trading, the uses are numerous and the benefits are as well.

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

The implementation of AI in the banking sector is constant to rework the companies in the sector, provide higher useful levels and more personalized experiences to their customers, reduce risks, and increase opportunities involving the financial engines of our modern economy.


One of the profound impacts that AI has created is in the field of Healthcare.

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

This device, when powered by AI, can easily monitor and notify abnormal trends. It can even schedule a visit to the nearest doctor on its own, thus also being of great help to doctors who can get assistance in 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 series of problems that can be solved with the implementation of AI. Some of them include automated grading software, content retention techniques, and suggestions for necessary improvements.

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

The technology can also help expand 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 AI in agriculture is often attributed to agricultural robots, predictive analysis, and monitoring of crops and soil.

Furthermore, drones are also used for spraying insecticides and detecting weed formation on large farms. This is helping numerous companies better manage farms.

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


With the growing development in the field of Artificial Intelligence, robots have become more efficient in performing tasks that were previously too complex.

The idea of Robotic Process Automation is generally achieved only with the help of AI, where the system can not only execute the specified task but also monitor, inspect, and improve it without any human intervention.

AI in robotics helps robots learn processes and perform tasks 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 into previously rigid robot applications. These benefits are expected to reinforce market growth.


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

AI is often used in marketing efforts where speed is essential. AI 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 the 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 nuances. Use cases for AI in marketing include:

  • Data analysis;
  • Identifying anomalies;
  • Natural language processing;
  • Managing paid media;
  • Automated decision-making;
  • Content generation;
  • Real-time personalization;
  • Campaign budget management, etc.

To delve deeper into the topic, read our complete 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 have presented throughout the article, it is possible to perceive that artificial intelligence is changing the way we live and work at an increasingly faster pace.

Therefore, it is important for you to keep up with the trends and innovations of digital transformation in the corporate environment to stand out in your business!

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