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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

With ChatGPT dominating the space of conversational AI and rapid, helpful response turnout, as well as OpenAI’s open source retrieval plugins for the revolutionary tool, ChatGPT will begin to permeate ...

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 ...

Recently, MiningLamp Technology, a leading enterprise in China's enterprise-level large models and data intelligence sector, officially launched its specialized large model product ...

SurrealDB, the ultimate multi-model database, is debuting the next iteration of its database solution, centered on further simplifying the lives of developers. SurrealDB 2.0 adds a series of new ...