February 2025

TensorFlow o PyTorch

TensorFlow or PyTorch: which machine learning framework should you choose?

In the field of machine learning, choosing the right framework can significantly influence the success of a project. Two of the most popular frameworks are TensorFlow and PyTorch, each with its own features, advantages, and disadvantages. This article delves deeply into their benefits and drawbacks, as well as the use cases where each framework excels, […]

TensorFlow or PyTorch: which machine learning framework should you choose? Read More »

Node.js y Express.js

Node.js and Express.js: the JavaScript stack for fast back-end development

In modern web development, speed, efficiency, and scalability are essential for the success of any application. In this context, Node.js and Express.js have emerged as key tools for building back-end applications, allowing developers to create fast, flexible, and robust solutions. In this article, we’ll explain what Node.js and Express.js are, their advantages and disadvantages, and

Node.js and Express.js: the JavaScript stack for fast back-end development Read More »

arquitecto líder tecnológico y CTO

Differences between architect, tech lead, and CTO

The roles of architect, tech lead, and CTO (Chief Technology Officer) are fundamental for ensuring the direction, planning, and execution of technological projects. While they share the common goal of optimizing processes and outcomes, their responsibilities and approaches differ. In this article, we will explain in detail the differences between these roles, defining each one

Differences between architect, tech lead, and CTO Read More »

IA en el sector financiero

AI in the financial sector: predictive analytics and fraud prevention

AI in the financial sector is transforming how banking and financial institutions operate, make decisions, and protect their customers. From predictive analytics to anticipate market trends to fraud prevention, artificial intelligence has become a fundamental pillar for innovation and improving efficiency in the industry. In this article, we explore the role of AI in the

AI in the financial sector: predictive analytics and fraud prevention Read More »