Making predictions is something a business or system depends on, which is indirectly dependant on data analytics. Data analytics is the science of analyzing raw data in order to make conclusions about that information.This analysis can then be used to optimize processes to increase the overall efficiency of a business or system. The dataset here, that we have obtained from Kaggle, is a sample of the transactions made in a retail store on Black Friday. The store wants to know better the customer purchase behaviour against different products.
This paper introduces the risks associated with the development of Artificial General Intelligence (AGI), gives an overview of the major organizations involved in the study of AGI risk, and examines current actions being taken with respect to AGI risk management. It then discusses possible AGI public policy options and their likely outcomes, and finally recommends a set of policies designed to decrease the risk presented by AGI.