Conceptual Architecture Framework for Big Data Based on Artificial Intelligence

This paper attempts to present a framework based on data science to implement a conceptual architecture of big data based on cloud computing and relying on artificial intelligence. The presented model has the ability to establish a connection between different data in a way that integrates the ability to analyze and review, produce qualitative insights, make decisions, and provide various services based on artificial intelligence and machine learning in an integrated manner based on the principles of data linkage, and presents it in the form of a management dashboard as a comprehensive whole for massive intelligent data. Unlike the separate and offline computational methods and statistical techniques presented in various applications and conventional articles, the data science-based approach seeks to provide the highest technology utilization rate and the most practical mode of intelligence in big data analysis and processing based on an advanced format and using a variety of online and offline input data by combining various machine learning technologies in a cloud computing environment based on cloud data warehouse and cloud lake.

Keywords:

Data science , big data , artificial intelligence , machine learning , conceptual architecture