This study integrated data analytics transforms healthcare decision-making, improving accuracy, efficiency, and patient-centered outcomes through descriptive, predictive, and prescriptive solutions.

The combination of AI technology with forensic accounting delivers multiple advantages which include better fraud detection and anomaly reduction.

AI enhances healthcare efficiency by automating tasks, optimising workflows, and enabling timely, patient-centred care with reduced administrative burden.

AI enhances renewable energy efficiency, reliability, and sustainability, enabling predictive operations, optimized resource allocation, and equitable, climate-resilient energy systems.

The strategic advantages of long-term benefits surpass the current obstacles of implementation costs and limited workforce expertise.

VEGFR2 mutations weaken sorafenib binding and start backup pathways, explaining resistance and supporting combined, multi-target treatments for liver cancer.

AI in precision oncology enables the early detection of cancer, tailors’ treatments to individual patients, and enhances patient outcomes with greater accuracy.

This study demonstrated molecular epidemiology and resistance mechanisms of XDR gram-negative bacteria, guiding diagnostics, surveillance, and targeted therapies.

The study presents actual data which demonstrates that project success depends mainly on governance and data maturity levels.

The study examines main elements which affect productivity to businesses their analytics with employee capabilities and operational workflows.