Business intelligence is a technology that gathers, stores, accesses, and analyzes data to assist business users in making better decisions. Artificial intelligence, on the other hand, is a method of creating a computer, a computer-controlled robot, or software that thinks intelligently like humans. Artificial intelligence is based on the study of how humans think, learn, decide, and work to solve a problem, and then using the results of this study to develop intelligent software and systems.
What is Artificial Intelligence?
Artificial intelligence is a method of creating a computer, a computer-controlled robot, or software that thinks intelligently like humans. Artificial intelligence is based on the study of how humans think, learn, decide, and work to solve problems, and then using the findings to create intelligent software and systems. Automation, data modeling, reporting, and analytics are examples of computer-powered business decision drivers that are referred to as AI but are not AI. While AI has the potential to improve all of these areas, they are not the primary focus of AI; instead, each of these platforms is discussed by a different type of intelligence software, particularly business intelligence.
What is Business Intelligence?
Business intelligence (BI) is a technology that collects, stores, accesses, and analyzes data to help business users make better decisions. BI transforms data into meaningful information in the form of reports and dashboards, allowing businesses to make data-driven decisions. Data analysis requires the use of statistical methods. It incorporates data mining, data warehousing, and other tools to extract more data-driven data. It entails gathering data and then analyzing that data to make decisions. It aids in optimizing and capitalizing on available historical data.
| Basis of Comparison | Artificial Intelligence | Business Intelligence |
| Research Areas | Expert systems, neural networks, natural language processing, fuzzy logic, and robotics are examples of AI research areas. | Data mining in social networks, process analytics, Bigdata, and OLAP are some of the research areas for Business Intelligence. |
| Goals | The development of expert systems and the incorporation of human intelligence into machines | It should provide data that enables efficient and effective business decisions at all levels of the organization. |
| Issues | Three issues confront artificial intelligence. They are a threat to privacy, to human dignity, and to safety. | There are two types of business intelligence issues. These are Organization, People, Technology, and Data. |
| Applications | Gaming, natural language processing, expert systems, vision systems, speech recognition, handwriting recognition, and intelligent robots are all applications of artificial intelligence. | It is used in Spreadsheets, querying and reporting software, Digital dashboards, Data mining, Data warehouse, Business activity monitoring. |
| Areas that contribute | Artificial intelligence is a science and technology hybrid based on computer science, mathematics, biology, and psychology. | It combines business analysis tools such as ad hoc analytics and enterprise analytics. reporting, online analytical processing |
| Philosophy | AI was developed with the goal of creating intelligence in machines similar to that found in humans. | It aids in the analysis of business performance through data-driven insight, i.e. understanding the past and forecasting the future. |