Data

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 […]

1. The cloud accelerated everything, including invisible errors. The cloud promised agility, scale, and efficiency, and it delivered. The problem is that, in this movement, many companies accelerated more than they realized. With each new integration, automation, or API layer, data multiplies, transforms, and exists in places not always […]

Introduction: Why controlling invisible data has become a priority. There's something that goes unnoticed in many companies: the illusion that migrating data to the cloud is the same as controlling it. In practice, what grows with the cloud is not only processing capacity, but also the complexity of understanding where the data is, […]

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 […]

In today's world, information is one of the most valuable assets an organization can have. Data management has gone from being a support function to a core strategy for competitiveness, innovation, and growth. After all, accumulating data isn't enough: it's necessary to collect, organize, protect, and analyze this information effectively.

1. Introduction: Why Migrating to a Data Lake Reshapes Your Business Migrating data to a data lake is much more than moving files or purchasing more cloud storage. It's a strategic decision because it redefines how data flows, connects, and transforms into value. But every strategic decision requires preparation—and […]

1. Introduction: Why Unstructured Data Requires a New Architecture Let's be honest: it's not the volume of data that challenges companies, but its format. And data rarely comes in organized columns or well-behaved tables. It arrives in PDFs, customer service audio files, IoT sensors, random messages in ERP systems, […]

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 […]

Have you ever stopped to think about how much personal information you have online? From your CPF (Brazilian Social Security number) to your purchase history, your address to your credit card number, all of this forms our "digital identity." Now, imagine losing control over that data. Scary, isn't it? We live in a digital age where data security […]

Introduction When we talk about productivity, the real competition between companies isn't about who works harder, but who works better. According to the McKinsey Global Institute (2017), around 60% of occupations worldwide have at least 30% of their activities that can be automated using available technologies. Although less than 5% of occupations can […]

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. […]