This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Gov. Josh Shapiro has been out front many times, cheering the arrival of the first hyperscale data centers in Pennsylvania. It’s also true that the business-friendly Democrat openly hopes for more of ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

ICH E6 (R3) introduces a dedicated section on data governance, reflecting the increasing complexity of data sources and ...

Competitiveness will be driven by efficiency, innovation, and collaboration. By embracing lean principles, investing in technology, and forging ...

Working alongside hospitals and health systems, the American Hospital Association’s Better Health for Mothers and Babies (BHMB) initiative aims to eliminate preventable maternal deaths and reduce ...

Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

In the competitive world of electronics manufacturing, a profound truth often goes unrecognized until expensive lessons force ...

A new guide from NUS shows how food companies and researchers can move AI from black-box models to reliable tools for ...