Machine Learning, solution that brings innovation and agility in the processes with great productivity benefitsIt is.
Considered a technology of great value to many organizations, the Machine Learning (Meet Machine Learning), is able to automate processes, optimizing operations and providing an increase in productivity of the most varied functions, gaining prominence worldwide.
How did ML gain prominence in the corporate world?
It was through the digital transformation that this technology began to be recognized by different sectors of the market. One of the most important features is that in recent years, there has been an awareness that companies need to go beyond what is expected, which means offering personalized goods and services, with constant, safe and agile innovations. In addition to seeking more qualified internal processes than the traditional one.
In that sense, the Machine Learning strategically represents an extremely powerful technology, as it allows us to go further, generating great benefits for the companies that invest.
To exemplify, we separated some studies by sectors of: Technology, Agro and Financial, which currently use the ML solution and which bring innovation and agility in the processes. Check out:
- TECHNOLOGY SECTOR:
The use of technology in the platform of streaming of films is so efficient that it is speculated that some companies are not fully aware of the criteria used by the algorithm. Directly, the Machine Learning crosses various user behavior data on the platform to suggest movies and series. With this it is 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 the Brazilian and world markets. In it, the Machine Learning is already considered an important form of aid to the development of intelligent machines. To explain how ML can work in this market, we separate an example where it is used to find strategies for positioning sensors and data collection (moisture, soil fertility, etc.). In parallel, analyzes of satellite images and climate data are carried out to adjust the deadlines and the harvesting method, improving the performance of the process as a whole.
Therefore, a necessary and strategic technology for the sector.
- FINANCIAL SECTOR:
In the financial market, it is necessary not only to develop new solutions, but also to optimize those already implemented. Therefore, Machine Learning in this sector faces challenges, as many companies find it difficult to understand its importance. However, companies cannot ignore the enormous potential of ML, bringing great benefits as: cost optimization, fraud analysis, productivity increase, among others.
In general, we can conclude that the needs and competition of the markets are accelerating. Along with him, the Machine Learning if necessary, because it is through it that companies, products and services will become more competitive to the point of guaranteeing excellence in execution, 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 point out that the potential of this market for Machine Learning It is gigantic, that to implement this technology, the best way is to guarantee professionals specialized in the subject and who work in line with the objectives of your company. We give ST IT Cloud, we can execute this project, bringing strategic information on the real economic impact generated after its implementation.
Start your ST IT Cloud journey today. To learn more about it, contact our team!
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