Health systems are entering an era of intelligent data management where real-time validation, data quality scoring and robust ...

On a recent executive outreach call, a leader from a large enterprise shared how their 120,000 users were actively involved in improving data quality across the organization. Intrigued, I reviewed ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Opinions expressed by Digital Journal contributors are their own. In today’s environment, the need for a quality management system is not merely a luxury. Still, instead, it is an essential ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

Purpose-built electronic quality management systems are a better fit for CGT production than traditional technologies.

The Home Office is facing a judicial review over refusing to allow alternative proof of immigration status outside of the electronic visa system, despite data quality and integrity issues plaguing the ...