Finance leaders have progressed beyond reactive reporting toward proactive decision-making, making master data quality a fundamental strategic advantage.

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

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

Aug 29, 2025 Inconsistent testing undermines triboelectric generator data and hinders comparison across studies. (Nanowerk S ...

Recent breakthroughs in artificial intelligence have transformed protein structure biology from a data-limited discipline into a data-driven frontier of ...

China's leading auto insurance technology platform, today announced the launch of two forward-looking initiatives intended to fully integrate China's strengths in smart, connected new energy vehicles ...

To get a sense of who is truly in control of McDonald's Corporation ( NYSE:MCD ), it is important to understand the ownership structure of the business. With 74% stake, institutions possess the ...

Engineered nanozymes and explainable machine learning enable sensitive bacterial detection across complex conditions. The system uses three distinct signals and delivers transparent, verifiable ...

When it comes to the selection and hiring of our next generation of firefighters, physical fitness should never be left to chance. The fireground doesn't ...

Broadridge CISO David Ramirez warns that financial services will need to leverage AI to stay ahead of sophisticated threat actors ...

In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, ...

Before locking into a final model, you need a clear framework for analyzing the data and aligning stakeholders on objectives.