Abstract: Aiming at the problems of low hotspot data prediction accuracy, complex prediction model structure, and non-uniform data caching structure of existing caching technology, this paper proposes ...

MongoDB stands out as a compelling cloud infrastructure play, benefiting from cloud database migration and AI-native adoption ...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. At Data Summit 2026, James Serra, data and AI Architect at Microsoft, held his ...

As enterprises move from reactive analytics to AI agents, Google Cloud's data chief details new metadata, cross-cloud, and ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues through better data architecture design.

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Over the past few years, the AI market has been dominated by models built for unstructured ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial data. Most teams answer this with a patchwork of an OLTP database, ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...