Vision

Our vision is to establish the Data Engineering, Visualization Journal of Artificial Intelligence as a leading platform for cutting-edge research and advancements in the field of data engineering and visualization within the realm of artificial intelligence. We strive to foster innovation, collaboration, and knowledge sharing among researchers, practitioners, and industry experts to drive the development and adoption of state-of-the-art techniques and technologies in this domain. Our ultimate goal is to contribute to the growth and progress of artificial intelligence by providing a comprehensive platform that showcases the latest advancements and promotes the understanding and utilization of data engineering and visualization techniques.

Mission:

The mission of the Data Engineering, Visualization Journal of Artificial Intelligence is to provide a high-quality, peer-reviewed publication that serves as a trusted source of research and knowledge dissemination in the areas of data engineering and visualization in the context of artificial intelligence. Our mission encompasses the following key objectives:

Publish Cutting-edge Research: We aim to publish original research articles, innovative methodologies, and breakthrough findings that push the boundaries of data engineering and visualization in artificial intelligence. We strive to feature research that addresses key challenges, presents novel approaches, and demonstrates practical applications in various domains.

Foster Collaboration and Knowledge Exchange: We encourage collaboration and knowledge exchange among researchers, practitioners, and industry experts by providing a platform for the dissemination of ideas, insights, and best practices. We facilitate networking opportunities and encourage interdisciplinary approaches to foster innovation and cross-pollination of ideas.

Promote Ethical and Responsible AI Practices: We are committed to promoting ethical and responsible AI practices in data engineering and visualization. We prioritize research that emphasizes data privacy, fairness, transparency, and accountability. We aim to raise awareness about potential biases, ethical considerations, and the societal impact of AI-driven data engineering and visualization.

Engage the AI Community: We actively engage with the AI community by organizing conferences, workshops, and events that bring together researchers, industry professionals, and policymakers.