AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Beijing Kejie Technology Co., Ltd. recently announced that its patent for the "SQL Optimization Interaction Method and Device Based on Deep Learning Framework Large Models" has been authorized, with ...

AI models trained on question-answer datasets aim to lower the barrier to entry for using AI in materials science.

OpenAI is collaborating with Stack Overflow, the Q&A forum for software developers, to improve its generative AI models’ performance on programming-related tasks. As a result of the partnership, ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

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 ...

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

What does a data modeler do? Your email has been sent Data modeling is an important part of business intelligence that requires the support of skilled professionals ...