The Journal of AI Analytics and Applications publishes original research articles, reviews, case studies, industry reports, and expert commentaries across all domains of artificial intelligence analytics and applications. Key focus areas include machine learning algorithms, data mining, natural language processing, computer vision, AI-driven decision-making, business analytics, healthcare applications of AI, AI ethics and governance, and digital transformation strategies. Special emphasis is placed on interdisciplinary approaches, real-world applications, and contributions that bridge the gap between theoretical research and practical implementation.

Committed to scientific integrity and editorial excellence, the Journal of AI Analytics and Applications employs a rigorous peer-review process and adheres to the highest ethical standards as outlined by relevant academic and professional guidelines. The journal embraces transparency, reproducibility, and accessibility, ensuring that all published content is freely available under an open-access model to maximize dissemination and global impact.