AI

1. Introduction: A technical choice that became a business decision Not every data problem is an invitation for Deep Learning. And not every Machine Learning model is easy to sustain at scale. This is because Machine Learning (ML) and Deep Learning (DL) have structural differences that go beyond the algorithm. Therefore, deciding between an approach […]

In recent years, artificial intelligence (AI) has made inroads into many fields, and Retrieval Augmented Generation, known by the acronym RAG, is one of the most promising innovations. This approach combines information retrieval capabilities with natural text generation, creating more efficient and accurate solutions. Throughout this content, you will […]

The job market is at a turning point. What once seemed distant (the so-called professions of the future) are now part of the present and are beginning to dictate which skills will truly be valuable in the coming years. Artificial intelligence, automation, and cybersecurity aren't just buzzwords: they're creating new roles and reshaping careers […]

Have you ever stopped to think about how quickly cyberattacks evolve? These days, relying solely on manual monitoring or fixed rules isn't enough. The landscape demands something more intelligent, and that's where AIOps comes in. According to Gartner, by 2027, half of large companies will have adopted AIOps in […]

In the rapidly evolving world of artificial intelligence, the role of prompt engineering is becoming increasingly significant. This emerging discipline is critical to optimizing interactions with AI and ensuring that models deliver accurate and useful results. As AI systems continue to permeate various aspects of […]

1. Introduction Every day, companies generate endless data—from sales, customers, inventory, marketing, and operations. It comes from disparate systems, scattered spreadsheets, messages, and even sensors. The problem? Without preparation, this data accumulates like loose pieces of an impossible-to-assemble puzzle. According to an Experian study, 95% of companies say they […]

In a world where every click, transaction, and digital interaction leaves a trail, the ability to manage, secure, and scale databases defines the line between stagnation and leadership. According to IBM, our world generates approximately 2.5 quintillion pieces of data every day, and a staggering 90% of all available data […]

1. Introduction In the IT world, the biggest problem isn't always the failure itself. Often, it's the time it takes to detect it. More distributed environments, interdependent systems, and constantly moving data have made operations more complex. And keeping everything under control has come to require more than human effort: it requires intelligence. […]

1. Introduction Everyone has had that hunch that something might go wrong, and sometimes it does. But in the business world, relying on intuition can be costly, especially when the stakes are high and the variables invisible to the naked eye. According to McKinsey, only 38% of companies use analytical models for decision-making […]

Introduction Imagine a world where industry not only produces but also thinks, anticipates, and decides. This world has already begun and is closer than many imagine. According to a McKinsey study, companies that adopt AI on a large scale can increase their industrial productivity by up to 20% and reduce operating costs by 15% or more. […]

Generative AI is transforming the world of technology. Simply put, it's a form of artificial intelligence capable of creating new content, such as text, images, music, and videos, from existing data. Unlike other types of AI that simply analyze and classify information, generative AI learns complex patterns and […]

In recent years, AI agents have ceased to be simple assistants to take on complex tasks within organizations. According to Gartner, by 2028, 15% of daily work decisions will be made autonomously by AI agents, and a third of corporate S softwareshould incorporate intelligent agents features. That […]