Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Database Management Relational Database Management Systems (RDBMSs) continue to do the heavy lifting in data management, while newer database management systems are taking on prominent roles as well.

Our fifth annual Forbes Asia 100 to Watch list provides a window into the vibrant world of startups and small companies in ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

It’s multilingual, auto-integrates branding, and constantly evolves—with AI photo creation, cartoon styles, app icon design & ...

We spoke to visual design vendor Canva's Duncan Clark about its new spreadsheet-based foray into data visualization and ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Jobs numbers make it all come together: "I have been a bit mystified by the economic data over the last few months. With the combination of tariffs, inappropriate fiscal expansion, immigration ...

President Trump's push for transparency in college admissions raises concerns about the administration's use of the data and potential targeting of universities.