Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Artificial intelligence (AI) is transforming a variety of industries, including finance, manufacturing, advertising, and healthcare. IDC predicts global spending on AI will exceed $300 billion by 2026 ...