The appearance of thousands of formulaic biomedical studies has been linked to the rise of text-generating AI tools.

Modern manufacturing operates in complex environments where traditional management approaches are no longer enough. This ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

The popular warehouse retailer has posted notices about recalls of some Bridgestone tires, window air conditioner units and ...

The HealthTech industry is a by-product of the digital transformation currently underway in the health and wellness sector.

Monte Carlo said its move into unstructured data monitoring represents a key milestone in its broader mission to provide visibility across the full data and AI application lifecycle.

These issues don’t just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. Data quality is no longer a back-office concern.

Joining the FinextraTV virtual studio, Andrew Colombi, Co-Founder & CTO, Tonic.ai discusses the current test data landscape and provides a number of fascinating insights on everything from quality ...

We talk to Cody David of Syniti about how to ensure data quality in datasets for AI, why a ‘data-first’ attitude is key, and the quick wins an organisation can gain in data quality.

Data quality issues in hotel transactions vary across regions. Learn how improving data accuracy can boost financial performance in global hospitality operations.

The paper presents a study aimed at identifying the most widely occurring data quality issues that affect users’ experience with data and their reuse, and presence of which may not only disrupt ...