Artificial Intelligence vs Business Intelligence – what’s the difference? Since these two terms are so interconnected, let’s look deeper into what makes them unique. 

In order to settle the Artificial Intelligence vs Business Intelligence debate once and for all, we’ll start with their definitions and proceed to describe points that make them distinct.

Artificial Intelligence VS Business Intelligence: Comparison

What is Artificial Intelligence?

By the name itself, you can guess that Artificial Intelligence definition describes the intelligence type that was created artificially, man-made, or in the more strict terms:

Artificial intelligence (AI) is a computer system designed to perform tasks like learning, reasoning and generalizing, which are generally accomplished by conscious beings, and aimed to replicate human intelligence completely. 

Get deeper insights into what is Artificial Intelligence and how it works in our fresh article –  5 Types of Artificial Intelligence for Your Business Benefits

What is Business Intelligence?

Although quite similar to Artificial Intelligence definition, Business Intelligence is not aiming to replicate human consciousness completely, and focuses on perfecting daily tasks of a given business, or in other words:

Business Intelligence (BI) is a computer system designed to collect all data within one enterprise into a single Data Warehouse, analyze tracked data and offer insights into improving that enterprise’s performance. 

Find out more about Business Intelligence in our new article here – What is Business Intelligence? BI Definition, Systems & Tools

Artificial Intelligence VS Business Intelligence

There are a number of factors that separate Artificial Intelligence and Business Intelligence, to make things clear let’s look at each of them, starting from the goal of the computer system to its end use, in particular. 

Idea behind 

While Artificial Intelligence grew out of pure curiosity – “what if we can make the machine think like a human?”, the invention of Business Intelligence is directed to satisfy concrete business needs. 

While the emergence of Artificial Intelligence is a brilliant experiment, a stroke of genius that aims to broaden the horizons of what’s possible, opening a new chapter of technological progress worldwide, the development of Business Intelligence helps businesses become more profitable. 

Starting point

Artificial Intelligence begins its process by feeding a computer system with initial data, which is then used to train and learn to solve the simplest of problems, gradually progressing to more complex tasks, and ends with an independent intelligence that is able to solve newly-introduced assignments and make future predictions without the help of a human.

Business Intelligence starts its work by collecting and analyzing presented information, proceeds by recognizing patterns and correlations and ends with descriptive or diagnostic insights and data visualization dashboards. 

Goal

The end goal of Artificial Intelligence is to replicate human intelligence in a machine. The end goal of Business Intelligence is to provide insightful information that facilitates complex decision-making in a particular enterprise. 

While the end results of Artificial Intelligence development will revolutionize the whole of humanity, on every level, the advancements in Business Intelligence will solely influence the business sector and industries related to it.

Resources

In order to be developed, Artificial and Business Intelligence use different contribution fields. For example, Business Intelligence mainly consists of various analytics tools like OLAP, or online analytical processing, enterprise reporting and Adhoc analytics. 

Artificial Intelligence, on the other hand, uses a much broader range of resources in its development, which include psychology, biology, computer science, math and technology.

Application

At last, Business and Artificial Intelligence differ in where they are currently utilized. Business Intelligence while mostly used in e-mmm, business, can be found in reporting, data mining (great info on data mining here), data warehousing, and enterprise monitoring. 

Artificial Intelligence is applied in many industries, which include virtual and augmented reality, robotics, natural language processing, predictive analytics, and search engines.

Conclusion

Artificial and Business Intelligence are quite different. They are used in distinct fields, for particular goals and contrasting reasons, although both of them help us make smarter decisions and predict future outcomes. 

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