When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...

The UK Financial Conduct Authority (FCA) has published a new webpage summarising the findings of its multi-firm review into how benchmark administrators (BMA) manage data-related risks. While the FCA ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Opinions expressed by Digital Journal contributors are their own. Satyendra Kumar, a seasoned data architect with over 15 years of experience, has developed innovative technical frameworks that have ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these efforts, AI systems, such as retrieval-augmented generation (RAG) and autonomous ...

From cost reduction to improved efficiency, upholding data quality improves the accuracy of analytics and enhances business decision-making capabilities. However, simply having a data quality ...

At the same time, it has cautioned against viewing AI as a standalone solution or a substitute for institutional reform. The ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...