Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. ... This augments an existing data management model. SEE: What Is Data Quality?

In today's ever-evolving landscape of supply chain management, executives and leaders are facing an intricate web of challenges. To navigate these complexities, advanced analytics and AI have ...

Data management has been changing rapidly in the era of generative and agentic AI, with even more change from the vendors covered here likely in store in 2025.

Data quality management is the process of ensuring that data meets a set ... though one may specialize more in statistical analysis while another specializes more in predictive modeling. Data ...

These data will be cleansed, labelled, and anonymized, with data pipelines built to integrate them within an AI model. The data preparation process should take place alongside a long-term strategy ...

Risk-based quality management, or RBQM, is the process by which pharmaceutical organizations monitor and manage quality throughout clinical trials. By Gayle Hamilton and Adrian Kizewski on April ...

The quality of the AI model is an amplified reflection of the quality of the data. Therefore, retraining AI models on enhanced datasets — datasets rich in quality, diversity, and relevance ...