What is Artificial Intelligence?

Artificial Intelligence is already used in almost all market segments, due to the flexibility and customization of the technology that makes it possible for it to contribute both to the development of operational tasks and to strategic use in decision making.

From futuristic technology and science fiction movies, Artificial Intelligence has actually become a resource used extensively in everyday life, from when performing some function on a smartphone, to when making an online purchase.

The applications of Artificial Intelligence have become popular and widespread. However, the more research one does, the more the technology reveals new potentials and uses, showing that there are still many possibilities to be explored.

Even with the diffusion of the technology, many people still have doubts about how it works and how it can really be applied in different business segments.

What is artificial intelligence and how does it work?

The term Artificial Intelligence is not as recent as it sounds it created the term to refer to the ability of machines to solve problems that, until then, could only be solved by humans.

The concept of AI remains the same: the feasibility of machines thinking like humans, developing the ability to learn, reason, perceive, deliberate, and decide logically about facts.

Another important aspect of AI is that, because of its ability to learn, it needs to be constantly fed so that it can continue to evolve, just like a person.

As complex as this process is, it is only possible with simple computing processes, such as:

• data model – frameworks to intelligently process, categorize and analyze data;
• big data – making large amounts of data available to be processed
• processing power – the operational and logistical ability to process information quickly and efficiently.

Despite this preview, to understand how Artificial Intelligence works, it is necessary to know that there is a combination of technologies that makes it possible.

Which technologies make AI work?

Artificial Intelligence is composed of code and data, the former being responsible for reading and interpreting the latter. However, AI is more than just data analysis, and to fulfill a complex plethora of commands that result in the ability to mimic humans, it includes several technologies.

Machine Learning

The first pillar of AI is Machine Learning, or Machine Learning, whereby computers become capable of learning and evolving. In the technology, what occurs is the logical processing of data and the identification of patterns that generate intelligence.

Without Machine Learning what we understand as artificial intelligence would not materialize. The system works as follows: the machine monitors all customer actions on the site and identifies patterns, such as when customers who have seen product X also show interest in Y.

In Machine Learning these patterns are identified in infinite webs, so that there are thousands of points of intersection that consist of connections between information, enabling intelligence on a large scale.

Deep Learning

Another essential concept for the realization of current AI is Deep Learning, which consists of a deepening of Machine Learning, making it more intelligent and complex. The technology uses more sophisticated tools that make the results more accurate.

Thus, the technology uses more complex networks to understand that, although there is an occurrence, it is not a causal search and therefore not a relevant result for the user. With this, Deep Learning is able to understand human thoughts in more detail than Machine Learning would be able to.

Natural Language Processing (NLP)

The last pillar of AI is Natural Language Processing, which is responsible for polishing the results, making them more natural and more human-like.

The over-perfection of the language and the inability to incorporate more informal elements is what makes the robot become artificial, regardless of the ability to actually assist the customer.

What are the benefits of Artificial Intelligence?

Artificial Intelligence has enabled direct and indirect benefits to businesses, being incorporated into operational stages and strategies due to the multiplicity of possible applications. Learn about four advantages that the technology has provided in companies.

Automation

AI allows the automation of voluminous computational processes, avoiding the need for people to perform tasks or even identify patterns. However, this requires trained professionals to configure the system.

The resource is also used in robotic automation and, in these cases, replaces operational tasks, such as tightening a screw with precision. In both cases, the technology optimizes processes and improves business performance.

Predictability

Among the applications of AI is that of predictability of markets, behaviors, and processes due to big data analytics that identifies patterns and establishes predictions from past events.

Through predictive analytics using Machine Learning and Artificial Intelligence it is possible to consider infinite data and scenarios to identify the most likely events, assisting in more effective and strategic decision making.

Data Deepening

Big Data has been enabling systematic data analysis for a few years now. However, AI has deepened this interpretive capacity, generating more intelligence from the analysis of information.

Thus, even a company that is competing with a competitor using similar techniques can differentiate itself enormously if it has a good data set and applies AI to identify patterns and predictions, allowing more complex and valuable information to be extracted from the data.

Constant improvement

Artificial Intelligence enables constant evolution when it comes to the use of data, as it uses multi-layered neural networks that are used to build more complex and effective interpretive frameworks.

To adopt Deep Learning the company needs big data so that the model can learn from this information. Also, the more data that is fed into the model, the more effective it becomes.