A COMPARATIVE STUDY OF BUSINESS INTELLIGENCE AND ARTIFICIAL INTELLIGENCE WITH BIG DATA ANALYTICS

Abstract

Business intelligence combines operational and historical data with analytical tools, providing business   planners and decision makers with valuable and competitive information. Business intelligence (BI) aim to improve the timing and quality of data so managers can better understand the company's position relative to competitors. For example, business intelligence tools and techniques can be used to analyze    changes in the market, customer behavior and usage patterns, customer preferences, company capacity    and the economy. Additionally, analysts and managers can use business intelligence to determine which changes are most likely to translate into change. The process of extracting implicit, previously unknown and useful information from data is called data mining. Clustering, data collection, learning classification rules, discovering relationships, identifying changes, and investigating anomalies are examples of such techniques. The introduction of data storage as a repository, advances in data cleaning, better hardware and software capabilities, and the advent of web architecture have all combined to create better business intelligence. This document attempts to provide a framework for developing business intelligence. Artificial   intelligence is already being used to detect and investigate vulnerabilities. Manipulation and Movement Given a static environment, AI robots can easily detect and map their environment.

Business intelligence combines operational and historical data with analytical tools, providing business planners and decision makers with valuable and competitive information. Business intelligence (BI) aims to improve the timing and quality of data so managers can better understand the company's position relative to competitors. For example, business intelligence tools and techniques can be used to analyze changes in the market, customer behavior and usage patterns, customer preferences, company capacity and the economy. Additionally, analysts and managers can use business intelligence to determine which changes are most likely to translate into change. The process of extracting implicit, previously unknown and useful information from data is called data mining. Clustering, data collection, learning classification rules, discovering relationships, identifying changes, and investigating anomalies are examples of such techniques. The introduction of data storage as a repository, advances in data cleaning, better hardware and software capabilities, and the advent of web architecture have all combined to create better business intelligence. This document attempts to provide a framework for developing business intelligence. Artificial intelligence is already being used to detect and investigate vulnerabilities. Manipulation and Movement Given a static environment, AI robots can easily detect and map their environment.