Artificial Intelligence and Business Intelligence: Differences and Comparisons


In this article, we are going to talk about  Artificial Intelligence and

Business intelligence Differences and Comparisons. Nowadays AI is becoming more Valuable and It has more scope for the future. Let's get into the article.


Business intelligence is a technology that collects, stores, accesses, and analyses data to assist business users in making better decisions. Artificial intelligence, on the other hand, is a way to create a computer, a robot that is controlled by a computer, or software that thinks intelligently like humans. Artificial intelligence is founded on the study of how humans reason, learn, make decisions, and work to solve problems. The results of this study are then used as the foundation for creating intelligent software and systems.

Artificial Intelligence and Business Intelligence in Direct Contrast

Artificial Intelligence:

  • Philosophy - The goal of artificial intelligence (AI) is to replicate human intelligence in machines.

  • Goals -  to develop expert systems and incorporate machine intelligence

  • Areas that Contribute - A blend of science and technology, artificial intelligence is based on computer science, mathematics, psychology, and biology.

  • Application: Various industries use artificial intelligence, including gaming, natural language processing, expert system vision systems, speech and handwriting recognition, and intelligent robots.

  • Research Areas -Robotics, fuzzy logic, neural networks, and expert systems are among the research topics for artificial intelligence.

  • Issues - Three problems with artificial intelligence exist. Threat to safety and Human Dignity.

Business Intelligence


  • Philosophy - It facilitates the analysis of corporate performance through data-driven insight, allowing one to comprehend the past and foresee the future.

  • Goals - At all company level decision-making levels, it should supply information that can facilitate efficient and successful business decisions

  • Areas that Contribute -It combines business analysis tools including OLAP (online analytical processing), ad hoc analytics, and enterprise reporting.

  • Application - Spreadsheets, reporting and querying tools, digital dashboards, data mining, data warehouses, and business activity monitoring all make use of it.

  • Research Areas - Business intelligence research includes OLAP, Big Data, Process Analytics, and Data Mining in Social Networks.

  • Issues - Issues with business intelligence are divided into two categories. They are data and organizational technology.

Comparative Table of Business Intelligence and Artificial Intelligence


Following is the comparison table between Artificial Intelligence and Business Intelligence.

Basis of Comparison

Artificial Intelligence

Business Intelligence

Philosophy

The goal of artificial intelligence (AI) is to replicate human intelligence in robots.

It helps in analyzing business performance through data-driven insight i.e understanding the past and predicting the future

Goals

to develop expert systems and incorporate machine intelligence

At all levels of the organization, it should deliver data that enables efficient and successful business decisions.

Areas that contribute

Artificial Intelligence are a combination of science and technology based on computer science, maths, Biology, and Psychology

It combines business analysis tools including OLAP, corporate reporting, and ad-hoc analytics (online analytical processing)

Applications

Artificial Intelligence is used in various fields such as Gaming, Natural language processing, Expert systems, Vision systems, Speech recognition, Handwriting recognition, and Intelligent Robots.

It is used in Spreadsheets, querying and reporting software, Digital dashboards, Data mining, Data warehouse, and Business activity monitoring.

Research Areas

Expert systems, neural networks, natural language processing, fuzzy logic, and robotics are all fields of artificial intelligence research.

Business intelligence research areas include big data, process analytics, social network data mining, and OLAP.

Issues

Three problems with artificial intelligence exist. They are threats to safety, human dignity, and to privacy.

problems related to business intelligence are divided into two categories. They are data, technology, people, and organizations.


Conclusion

Artificial intelligence is the focus of a new endeavor to create a computational model of intelligence. The fundamental assumption is that a digital computer may be set up to carry out symbolic operations and represent human intelligence in terms of symbol structures. Groups within an organization can employ meaningful insights from business data by using business intelligence to meet requirements. A Business-focused analysis is provided by business intelligence solutions at a size, complexity, and speed that is not feasible with simple operational systems reporting or spreadsheet analysis, adding significant value.


If You Wanna discover more about artificial Intelligence in an efficient way, kindly check this out!!!

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