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

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

Seamless access to high-quality, governed data and models is now available to power and train the next generation of marketing AI use cases SAN FRANCISCO, January 06, 2026--(BUSINESS WIRE)--LiveRamp ...

Discover how AI is transforming marketing databases in 2026. Learn the top use cases like lead enrichment and how to overcome ...

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...

In the ever-evolving world of sports analytics, cycling stands on the brink of a data-driven revolution. By leveraging innovative data models, inspired by diverse industries, new opportunities for ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...