The quality of scientific research is facing the twin threats of AI-generated data fabrication and the loss of long-standing, ...

New regulations are sharpening this focus. The EU AI Act is one example of the shift towards stronger guardrails around how data is used, particularly in high-risk use cases. But compliance can’t be ...

How can companies go beyond the hype to gain a better understanding of how agentic AI can drive higher efficiency and return ...

In today’s data-driven business landscape, inaccurate data causes more business risk than just IT problems. Melissa’s new research study, The State of Enterprise Data Quality 2025, finds 84% of ...

The promise of GenAI is often hindered by a fundamental and frequently overlooked prerequisite—robust data governance.

Precisely has boosted its Data Integrity Suite again. It has announced a number of new features in both a press release and a blog. Aimed at improving and ...

The FDA draft guidance "Considerations for Complying with 21 CFR 211.110" raises points to consider regarding drug products made using advanced manufacturing, batch uniformity, drug product integrity, ...

Artificial intelligence is only as strong as the data that shapes it. Discover why high-quality data is the foundation for ...

Introduction Mentalising, the capacity to understand behaviour via underlying mental states, is a key construct in psychopathology. While self-report instruments are widely used to assess mentalising, ...

Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...

AI and ML tools are enhancing data management and process control in bio/pharmaceutical manufacturing, with early adoption in ...

Data management tools that provide contextualization, governance and accessibility are the backbone of effective AI-driven ...