Open Access Journal of Data Science and Artificial Intelligence an International peer-reviewed journal it welcomes foundational and applied papers describing mature work involving AI methods. It is the study of data to extract meaningful insights for business and AI simulation of human intelligence processes by machines, especially computer systems. The field was founded on the assumption that human intelligence can be so precisely described that a machine can be made to simulate it. Data science also integrates domain knowledge from the underlying application domain from natural sciences, information technology, and medicine. Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. It can also automate complex processes and minimize downtime by predicting maintenance needs. AI involves many different fields like computer science, mathematics, linguistics, psychology, neuroscience, and philosophy. OAJDA welcome to publish mature work in the field of computational aesthetics, neural network artificial intelligence programming language, mathematics, statistics, artificial intelligence and computer engineering to analyze large amounts of data.