AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used by chatbots, coding agents and other AI agents, Bloomberg Intelligence ...

Google wants Gemini, its family of generative AI models, to power your app’s databases — in a sense. At its annual Cloud Next conference in Las Vegas, Google announced the public preview of Gemini in ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More San Francisco-based Monte Carlo Data, a company providing enterprises ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

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 ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Amazon Web Services's AI Shanghai Lablet division has created a new predictive model -- an open-source benchmarking tool called 4DBInfer used to graph predictive modeling on RDBs, a relational ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Guys I would like to ask about sql server database recovery models in terms of sharepoint. By default the SharePoint Config, Content and Admin databases are set to full and the ssp and search ...