Transactions on Advanced AI and Data Engineering (TAAIDE) is an international, peer-reviewed scholarly journal dedicated to advancing research and innovation in Artificial Intelligence (AI), Data Engineering, and multidisciplinary computational systems. The journal provides a global platform for researchers, academicians, and industry professionals to publish high-quality, original contributions that address complex real-world challenges through intelligent algorithms and scalable data infrastructures.

TAAIDE focuses on the integration of advanced AI techniques with modern data engineering practices, emphasizing the design, development, and deployment of efficient, reliable, and scalable data-driven systems. The journal encourages research that bridges theoretical foundations with practical applications, enabling impactful solutions across diverse domains such as healthcare, finance, smart cities, manufacturing, and digital governance.

The scope of the journal includes, but is not limited to, machine learning, deep learning, data pipelines, big data analytics, cloud and distributed computing, MLOps, real-time data processing, natural language processing, computer vision, cybersecurity, and privacy-preserving technologies. It also welcomes interdisciplinary research that leverages AI and data engineering to solve societal and industrial problems.

All manuscripts submitted to TAAIDE undergo a rigorous double-blind peer review process to ensure quality, originality, and relevance. The journal adheres to strict ethical standards and international publication guidelines, maintaining transparency and integrity throughout the review and publication process.

The mission of TAAIDE is to foster innovation, promote research excellence, and enable global knowledge exchange in AI and data engineering. Its vision is to become a leading international journal recognized for high-impact contributions and advancements in intelligent data systems and computational technologies.