An Analysis of Big Data Analytics in Relation to Artificial Intelligence and Business Intelligence

Abstract

Through the integration of analytical tools with operational and historical data, business intelligence systems provide crucial and competitive information to those responsible for corporate planning and decision-making. In order to help managers, understand how their organisation stacks up against competitors, business intelligence (BI) strives to improve the timeliness and quality of data. Business intelligence tools and technologies allow for the analysis of many market variables, including changes in market share, customer preferences, company capabilities, consumer behaviour and spending patterns, and market situations. Moreover, managers and analysts may use business intelligence to figure out which adjustments are going to be the most flexible in response to changing patterns. Data mining refers to the process of non-trivial discovery of hidden, useful, and potentially helpful information inside datasets. Technical methods include things like data summarisation, clustering, learning classification rules, finding dependency networks, analysing changes, and detecting anomalies. A more robust business intelligence environment is now available than in the past because to developments in data cleansing, improvements in hardware and software capabilities, the rise of web architecture, and the data warehouse as a repository. An attempt at a blueprint for building a BI system is made in this paper. Searches for and investigations into security holes have made use of AI. Acts of manipulation and mobility Robots powered by artificial intelligence are able to see and navigate in a static setting with relative ease.