Machine learning is a data analysis method and a branch of Artificial Intelligence. It is based on the machine’s ability to identify patterns, learn data and make decisions autonomously.
Have you ever gone to seek assistance in an online chat and been surprised by a super fast response provided by a robot? These AIs are replacing humans and answering more frequently asked questions about product shipping or providing more personalized information. This is just one example of machine learning already being part of our reality.
What Is Machine Learning?
Machine learning is one of the branches of Artificial Intelligence capable of identifying patterns, making decisions, and modifying its behavior autonomously, based on data analysis and experiences, with minimal human interference.
Machine learning belongs to the sphere of Computer Science that makes it possible to make predictions, automate responses and execute tasks, simulating behaviors of the human brain through learning algorithms with Artificial Intelligence and Big Data techniques.
This complex system is part of our daily lives. Can you imagine how?. Every time you use a streaming service like Spotify, watch series on Netflix, or receive ads for products based on your interests, you accept the result of extensive data analysis that guides computers to learn your preferences.
If you want to know more about how this works, read on.
The Evolution Of Machine Learning
Machine learning is not a current technology. He developed pattern recognition from the theory that computers can learn without prior programming.
In other words, these systems previously had to obey pre-defined flows by humans themselves.
Furthermore, machine learning has changed and updated even low-to-high-level languages and programming, frameworks, and IDEs, among others.
Why Use Machine Learning?
With the advancement of the internet, we now have a large volume of data formed by our behaviors, preferences, and choices, which include Big Data.
Human capacity is no longer efficiently handling all this data, and computational methods have become promising.
From this, machine learning becomes more evident, as it is a method capable of analyzing all this data, creating models, finding structures, and automating processes and decisions. See below what are the benefits of this technology.
Efficiency
Intelligent machine learning algorithms can automate tasks and make accurate predictions in real-time, with very high assertiveness rates, which practically exclude human error from processes, helping to reduce costs and leverage positive results.
Adaptability
By processing data in real-time, algorithms help outline and adjust business strategies with agility, allowing you to keep up with the accelerated changes in the market.
Competitiveness
Using machine learning in your business means being able to make market predictions based on past results, improving your business model and your advantage over competitors.
Customer Segmentation And Conversion
Based on the analysis of behavioral patterns, it is possible to segment groups of customers with similar preferences, allowing individual sales approaches for each group at the right time and with the right products.
How Vital Is Machine Learning?
Its importance lies in data visualization and aid in the flow of information. After all, machine learning allows machines to find patterns in data autonomously and automatically without the need to program what they should look for specifically.
This action optimizes data analysis and provides highly accurate and relevant results. Leading organizations like Google and Meta are already using machine learning to seek solutions.
Examples Of Using Machine Learning
Security
Governments and financial institutions have used machine learning in cybersecurity to analyze their multiple data sources. With this, they can increase economic efficiency and detect fraud and identity theft.
Health
With the advent of sensors and wearables, machine learning has become an excellent ally for physicians in analyzing their patients’ data, helping to improve diagnoses and treatments and predict possible complication alerts.
Marketing And Sales
In this case, machine learning helps to know customers’ buying preferences and behavior, allowing the production of specific content and promotions for each group and a personalized sales path that generates a more significant conversion for the company.
An example of machine learning in this topic is websites or e-commerces that recommend products based on your preferences or previous purchases.
Transport
As a reference in identifying patterns from data analysis, this technology has been essential in elaborating more efficient routes and identifying potential problems.
Did you notice how this technology influences our lives, inducing us to make decisions and choose specific products and companies? I have a few more examples of how machine learning is directly present in your daily life.
