Blog - Page 4

Every piece of data goes through various stages in its lifetime, from creation to deletion – and handling this entire process is what data life cycle management (DLM) is all about. With the right tools and strategies, DLM helps you keep your data organized and secure, so it is always ready when your business needs it most. Today, the question...

In 2025, combining AI and big data development will not be an optional novelty – they will be essential for just about every industry you can think of. According to Statista, the automotive, aerospace, and telecommunications industries have already reached 100% adoption.  Other sectors are not far behind: IT and insurance – 97%, financial services – 95%, and healthcare –...

A data warehouse is the central hub where a business stores and organizes data, making it easier to analyze trends and generate insights to improve business strategies. Companies are already reaping the benefits of creating a data warehouse, and the investment figures are steadily growing: from USD 13 billion in 2018 to USD 33.7 billion in 2024. But if building...

AI-powered data engineering is what can make your business applications truly smart.The reason lies in the way AI models rely on a constant flow of data to learn and improve – but that data isn’t much use if it’s unstructured or hard to access. That's when the magic happens: the moment data engineering services and AI tools join forces.  If...

As of 2025, the world generates around 402.7 million terabytes of data every day — and 90% of most data has been created in just the past few years. These figures mean a new paradigm: for any company that works with data the importance of data engineering is undeniably at the center of your business strategy. Naturally – how else...

AI technologies offer us a variety of useful and helpful tools to generate content and analyze large datasets to uncover hidden patterns. However, one particular implementation stands out: AI-powered chatbots.  Chatbot development has been around for quite a while. Its initial implementation was somewhat underwhelming – but user reception changed as soon as more advanced AI algorithms were introduced. What...