Machine Learning: How to make strategic business decisions

Machine learning is a type of artificial intelligence that automates the construction of analytical models through algorithms based on a significant amount of data from different sources.

It is an analysis method that has the ability to modify behavior autonomously based on its own experience with minimal human interference, allowing it to make quality predictions for future situations related to historical patterns.

The ability to modify behavior consists in establishing rules - generated based on the recognition of patterns within the analyzed data - that aim to improve performance to perform a task or to make more appropriate decisions depending on the context.

Machine Learning's importance

The use of this type of artificial intelligence has been growing due to the increasing volume and variety of existing data, the processing power of 'machines', and more accessible data storage.

Recommendations

For e-Commerce businesses, algorithms have the ability to analyze data and produce product recommendations for a particular customer profile based on users' buying habits.

Businesses can adapt to these behaviors and through knowledge of the desires and trends of their target audience, increase the likelihood of customer loyalty and the anticipation of winning new customers.

Data Analysis

Big Data and Business Intelligence are increasingly used in data analysis from the buying behavior to the classification of the emotional analysis of users, in order to produce insights and predictions that allow among several possible situations, create new ways to increase sales, win new customers and disseminate products and services that meet the needs and desires of users.

Business impact

Planning considered traditional is giving way to Machine Learning, which is increasingly important in business planning because it allows the exchange of activities performed manually by automation due to the fact that data analysis through the manual method takes longer and there is always the possibility of something going unnoticed.

Using Machine Learning technology, data analysis is much faster and more accurate due to the ability to perform numerous cross-references of data appropriate to the parameters set for the needs of users and businesses.

Companies are beginning to realize more and more the advantage of using Machine Learning and its importance to improve customer relations and a more efficient business evolution.

With Machine Learning you have the possibility to obtain highly effective results that enable better decisions at strategic moments, even in real time.

This type of analysis method is part of our everyday life in situations such as:

• product recommendations in online stores;

• real-time advertisements;

• spam filtering in email;

• voice recognition and semantics;

• object and text recognition.