Machine Learning to Improve Your Company's Results

Learn how technology can help you get to know your customers better, streamline your processes, and boost your business performance

Machine learning, loosely translated, means “machine learning.” In other words, it is the ability of machines to learn on their own through exposure to large volumes of data and information. The more data computers have access to, the more they can improve their performance when faced with problems and challenges.

The learning process occurs through algorithms, which identify patterns and trends, creating connections so that the machine can learn to interpret this data, perform tasks, and make decisions—all without human intervention.

Machine learning in business

Although it may still seem like science fiction at times, this type of technology is becoming increasingly common in the business world and has the potential to reduce costs, increase productivity, and, as a result, improve your company’s bottom line.

Used primarily in the retail, finance, logistics, and marketing sectors, the concept of machine learning facilitates and streamlines data collection, analysis, and processing, yielding surprising results.

Machine learning can automate routines, enhance your company's security, predict consumer behavior, reduce the risk of financial loss, and prevent fraud.

How It Works

The algorithm serves as a kind of guide for the machine during its learning process; in other words, its function is to provide a set of rules and procedures that the computer will use to solve a specific problem.

Each algorithm is responsible for triggering a different command to process the data the machine receives. It is the combination of all these “rules,” provided by the algorithms, that drives the learning process. 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 learning and unsupervised learning.

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

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

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

Machine learning is already being used in various market sectors. Whenever you use an online search engine, a credit analysis app, a GPS navigation service, or a biometric recognition system, you are already benefiting from this technology.

The Evolution of AI

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

Deep learning, in turn, is the third phase of this process, which uses algorithms inspired by the human brain to learn deeply and produce greater and better results.

Machine learning from 4KST

We at 4KST have developed our own algorithm capable of creating countless predictive models that can be adapted to a variety of industries: retail, education, marketing, healthcare, finance, insurance, manufacturing, and telecommunications.

That is why we are one of the leading companies in the country in the application of high-performance machine learning algorithms.

In the retail sector, for example, companies can use our tools to check and analyze credit, learn more about consumer spending habits, increase sales, and reduce instances of fraud and delinquency.

In the education sector, our predictive models allow us to better track students' experiences at the university, monitor their satisfaction, and thereby reduce dropout rates.

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

To learn about other ways the 4KST algorithm can improve your company's performance and results, please contact us.