The relationship between artificial intelligence and data quality is fundamentally bidirectional: AI systems depend on high-quality data for reliable performance, while AI techniques offer powerful tools for assessing, monitoring, and improving data quality...
This paper discusses and analyzes the transformative role of artificial intelligence in fraud detection within healthcare systems, emphasizing a data-driven approach. The integration of AI in fraud detection not only enhances accuracy but also minimizes...
Cloud computing has developed at a very fast pace and has transformed data engineering for organizations to handle big data. But limitations including reliability of data, the ability to expand the cloud-based systems, and security become major issues. This...
Artificial intelligence has rapidly transformed many sectors, including healthcare and medicine. Among recent developments, large language models such as ChatGPT have gained significant attention for their ability to generate human-like responses and assist...
Modern Cloud Data Centers exploit virtualization for efficient resource management to reduce cloud computational cost and energy budget. Virtualization empowered by virtual machine (VM) migration meets the ever-increasing demands of dynamic workload by...
Personal data privacy is a top priority in the digital age, leading to strict legislation like the General Data privacy Regulation (GDPR) and California Consumer Privacy Act (CCPA). This research study examines the relationship between data privacy,...
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