Analysis of the role of machine learning algorithms in the context of business strategies

Abstract

In recent years, Artificial Intelligence (AI) and machine learning (ML) algorithms have become integral to many sectors, most notably in business. The use of these technologies in business and consumer decision-making opens up new perspectives, changing the conventions of data analysis and market behaviour prediction.
The aim of the paper is to analyse the role of machine learning algorithms in the context of business strategies and customer interactions. In the enterprise field, machine learning techniques enable the analysis of large data sets to detect patterns and market trends, leading to more reasoned business decisions. In addition, it is possible to use these techniques to automate business processes and tailor offers and services to customers' needs. In the context of consumers, machine learning techniques are used for product recommendations, personalisation of the shopping experience and customer service. These activities have a significant impact on improving the customer experience and increasing brand loyalty.
In this paper, the author aims to present the relevance of machine learning algorithms in today's business and consumer world, with a particular focus on their impact on business strategies and customer interactions. The paper will provide an analysis of these issues, emphasising practical applications and implications for the future. In addition, the topics will be discussed in a foreign context.