AI in accounting significantly enhances efficiency, accuracy, and strategic decision-making, transforming traditional practices and improving client service delivery.

AI combined with business analytics appear to give businesses the ability to live smarter, remain flexible in making strategic decisions.

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

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

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

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

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 method of combining sentiment data with supervisory information creates an affordable system which detects systemic risks in financial institutions at earlier stages.

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

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

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