Published Paper Details:

Artificial intelligence (AI), machine learning (ML) and deep learning (DL) being used in conjunction with digital transformation and data science (DS). Robotic Process Automation (RPA) has numerous advantages in terms of automating organizational and business processes with the help of ML and AI. The fields of AI, ML, RPA and DS have a great deal of overlap, but they are not interchangeable. Here is a very simplified explanation of how these three areas differ:DS produces insights; produces predictions; AI produces actions.The findings highlight the significant role of AI-driven automation in enhancing efficiency, productivity, and competitiveness, while also emphasizing the need for addressing job displacement and ethical considerations in the deployment of these technologies. Overall, this research sheds light on the potential of AI to revolutionize industries and reshape the future of work in a more streamlined and ethically grounded technological landscape. Mathematical functions can be used to perform predictions for a given dataset. The types of functions include: Simple Linear, Multiple Linear, Polynomial etc. In this paper we will analyse how DS deals with huge chunks of data to analyze the patterns, trends and more and gave scientific facts and figures to form AI algorithm precisely i.e., AI has taken over DS as a function.