With access management, what was once just audit data for compliance purposes becomes a dynamic, real-time record of activity ...

Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station ...

The administration is rejecting rational governance altogether, favouring instinct and preference over evidence ...

Overview Clarity and structure improve content visibility, as well-organized writing performs better in generative search ...

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

A structured data lake combined with rigorous wrangling makes data more accessible and AI-ready, says Julian Thomas, ...

No matter how sophisticated the AI model, its power depends on the quality, structure and context of the data beneath it.

By combining architectural finesse, prompt engineering, and rigorous validation, this framework sets a new benchmark for AI-enabled metadata management.

Praveen Kumar Dora Mallareddi, a senior data engineer, is transforming enterprise data infrastructure by building scalable, ...

At the event on impact of DoT’s mobile number validation rules on internet businesses, experts discussed the privacy concerns ...

AI in construction can’t thrive on paper checklists and scattered files. Centralizing and standardizing project data drives ...