Machine Learning, a solution that brings innovation and agility in processes with great productivity benefits.

Considered a technology of great value for many organizations, Machine Learning (Learn about Machine Learning), is capable of automating processes, optimizing operations, and providing a productivity increase for the most varied functions, gaining prominence worldwide.

How did ML gain prominence in the corporate world?

It was through digital transformation that this technology began to be recognized by various market sectors. One of the most important characteristics is that in recent years, awareness was created that companies need to go beyond the expected, which means offering personalized goods and services, with constant, safe, and agile innovations. In addition to seeking more qualified internal processes than traditional ones.

In this sense, Machine Learning strategically represents an extremely powerful technology, as it allows going further, generating great benefits for companies that invest.

To illustrate, we have separated some studies by sectors of: Technology, Agribusiness, and Finance, which currently use the ML solution and bring innovation and agility to processes. Check it out:

  • TECHNOLOGY SECTOR:

The use of technology on movie streaming platforms is so efficient that it is speculated that some companies may not have a complete understanding of the criteria used by the algorithm. Directly speaking, Machine Learning crosses various user behavior data on the platform to suggest movies and series. This makes it possible to identify that through the use of ML, users have greater relevance in the presented results.

  • AGRIBUSINESS SECTOR:

This sector occupies an important position in Brazilian and global markets. In it, Machine Learning is already considered an important form of support for the development of intelligent machines. To explain how ML can work in this market, we have separated an example where it is used to find strategies for positioning sensors and data collection (humidity, soil fertility, etc.). In parallel, satellite image and climate data analyses are performed to adjust deadlines and harvesting methods, improving performance in the overall process.

Thus, it is a necessary and strategic technology for the sector.

  • FINANCIAL SECTOR:

In the financial market, it is necessary to both develop new solutions and optimize those already implemented. Therefore, Machine Learning in this sector faces challenges, as many companies have difficulty understanding its importance. However, they cannot ignore the enormous potential of ML, bringing great benefits such as: cost optimization, fraud analysis, productivity increase, and others.

In general, we can conclude that the needs and competition of markets are accelerating. Along with it, Machine Learning is becoming necessary, as it is through it that companies, products, and services will become more competitive to the point of guaranteeing excellence in executions, process optimization, security, agility, productivity benefits, and innovation.

To develop this article, we chose to bring 3 examples of applications separated by sectors; however, it is important to emphasize that the potential of this Machine Learning market is gigantic, and to implement this technology, the best way is to ensure specialized professionals on the subject who work aligned with your company's objectives. We at ST IT Cloud can execute this project, bringing strategic information on the real economic impact generated after its implementation.

Start your journey at ST IT Cloud today. To learn more, contact our team!