Machine learning to improve your company's results

  • 26 June 2021
  • Machine Learning

Understand how technology can help you get to know your customers better, speed up your processes and increase the performance of your business

Machine learning, in free translation, means machine learning. In other words, it is the ability of machines to learn on their own, through contact with a large volume of data and information. The more data computers have access to, the more they can improve their performance in the face of problems and challenges.

The learning process takes place using algorithms, which identify patterns and trends, creating connections so that the machine can learn to interpret this data, carry out tasks and make decisions. All without human intervention.

Machine learning in business

Although sometimes it still seems like the stuff of science fiction, this type of technology is increasingly present in the business world and has the ability to reduce costs, increase productivity and, consequently, improve your company's results.

Applied mainly in the retail, finance, logistics and marketing sectors, the concept of machine learning facilitates and speeds up data capture, analysis and processing, with surprising results.

Machine learning is capable of automating routines, increasing your company's security, predicting consumer behavior, reducing the risk of losses and preventing fraud.

How it works

The algorithm is a kind of guide for the machine in its learning process, i.e. its function is to provide a set of rules and procedures, which will be used by the computer to solve a specific question.

Each algorithm is responsible for triggering a different command to deal with the data the machine receives. The combination of all these "rules", provided by the algorithms, is what generates learning. Therefore, the more data the machine has access to, the more knowledge it acquires.

Types of machine learning

Basically, machines learn in two ways. Through supervised and unsupervised learning.

In supervised learning, the machine is fed a set of previous data through human interaction. The problems and solutions are already defined and associated.

In the case of unsupervised learning, through deep learning, algorithms learn to process complex tasks autonomously, without human interference. There are no previous results or answers and the cross-referencing of data is unpredictable.

Choosing the best algorithm will depend on the problem you need to solve. There are different learning patterns for each case.

Today, machine learning is already being applied in different market sectors. When you use an online search engine, a credit analysis application, a GPS navigation service or a biometric recognition system, you are already benefiting from this technology.

Evolution of AI

While artificial intelligence (AI) is a first step, which analyzes data and quickly delivers results to users, machine learning can be considered a second stage, in which the machine analyzes data and learns on its own to solve problems autonomously.

Deep learning, on the other hand, is the third phase of this process, which uses algorithms inspired by the human brain to learn deeply and produce bigger and better results.

Machine learning from 4KST

We at 4KST have developed our own algorithm with the ability to create numerous predictive models, adaptable to various businesses: retail, education, marketing, health, finance, insurance, industry and telecommunications.

That's why we're one of the best high-performance machine learning algorithm application companies in the country.

In the retail sector, for example, companies can use our tools to consult and analyze credit, learn more about consumers' consumption habits, increasing sales and reducing cases of fraud and default.

In the education sector, our predictive models make it possible to keep better track of students' lives within the university, monitor their satisfaction and thus reduce drop-out rates.

All this in strict compliance with the new General Data Protection Law (LGPD), as 4KST technology does not require the storage of personal data.

To find out in what other ways the 4KST algorithm can improve your company's performance and results, please contact us.

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