The abstract provides an overview of the challenges and opportunities associated with the
implementation of Artificial Intelligence (AI) and Machine Learning (ML) in the context of …

This abstract explores the synergistic application of predictive analytics and master data
management (MDM) in the healthcare domain, adopting an AI-driven perspective. The …

This abstract explores the intersection of data-driven precision medicine and the synergistic
application of artificial intelligence (AI), machine learning (ML), and master data …

This abstract presents a comprehensive study investigating the pivotal role of Artificial
Intelligence (AI) and Machine Learning (ML) in the domain of Master Data Management …

In the evolving landscape of healthcare, the integration of Artificial Intelligence (AI), Machine
Learning (ML), and Master Data Management (MDM) has emerged as a transformative …

This abstract explores the critical role of data quality and governance in the healthcare
sector and proposes a framework for leveraging artificial intelligence (AI) and machine …

In the era of big data, the integration and management of vast, heterogeneous datasets pose
significant challenges. Modern data platforms are evolving to address these challenges by …

Objective: This paper explores the implications of artificial intelligence (AI) on the
management of healthcare data and information and how AI technologies will affect the …

Artificial intelligence in health (AIH) and health data has become a focus of attention for
customers of health services, organizations providing health services, and the government …

Master Data Management concept came into the mainstream during the mid 2000s, to
generate a single Golden profile of the customer. As the Enterprise IT architecture started …