As a CMO, I'm always looking for ways to reduce costs while not reducing effectiveness, and synthetic data fits this bill for ...

Learn how data fabric addresses fragmentation, compliance, and Shadow IT to deliver robust, centralized data protection and ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Sales forecasting should be one of the most obvious beneficiaries of AI. With the right data, companies could anticipate ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

LLM developers are increasingly turning to synthetic data to speed up development and reduce costs. Researchers behind ...

Most real-world data is messy and needs cleaning before use.• Simple fixes like removing duplicates, handling outliers, and standardizing forma ...

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches ...

Overcoming test data hurdles with realistic synthetic dataQuality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation. By Bryn Davies, ...

This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes ...

In a landscape where data lakes and warehouses have long been treated as distinct and often incompatible tools, the lakehouse ...

Pure Storage is pivoting from storage vendor to enterprise data trust broker, positioning itself as the validation layer that ...