What is the difference between Artificial Intelligence and Business Intelligence?

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With all the attention being paid to Artificial Intelligence (AI) lately, it’s no surprise that business leaders are scrambling to find ways to implement it in their organizations. However, when you ask them to define what they want from it, their answers often focus on finding solutions that enable better business decision-making.

But are these tools powered by AI? When we hear about AI, we usually overseas chinese in australia data associate it with automation, data modeling, reporting, and analytics . But these aren’t actually areas that are specifically tied to AI; rather, they’re actually driven by another type of software: business intelligence (BI) .

Given the confusion generated by these two types of “intelligence”, below you can find the main differences between Artificial Intelligence and Business Intelligence, as well as everything that each can do and how they can help business organizations.

What can AI really do?
Natural language processing. It is based on improving communication between humans and machines by analyzing human language inputs and providing results through voice assistants such as Microsoft Cortana , a device that uses NLP to analyze and react contextually to voice signals.

Vision systems. These are capable of analyzing and interpreting visual images , such as aerial photographs, medical images, or product labels. An example is Facebook's facial recognition photo labeling.

Machine learning is the process of making computers learn and act like humans by responding to variable data inputs. It involves applying algorithms to layers of data that map variable inputs to variable outputs and giving the computer the opportunity to learn progressively each time they perform a task.

AI planning and programming. This branch is primarily applied to autonomous machines , such as industrial machinery, self-driving cars, or robots. In order to interact with the physical world, these devices must be able to observe the world through different types of sensors and perform actions based on those observations.

What are some of the main components of business intelligence?
Data modeling is a method of mapping individual data sources in an enterprise and determining how they should interact with each other to extract the most valuable business insights.

Analytics and reporting. Capturing, structuring, and storing data in an ERP is good, but being able to analyze and report on it is the ultimate goal. Business intelligence solutions are able to provide analytical functions as well as simple, accessible reporting for end users , without requiring technical expertise.

Data visualization and dashboards. Data visualization tools make it easier to analyze data, as they are shown in graphical representations that are easier for the human brain to interpret.

According to a study by Aberdeen Group, organizations that use data visualization tools are 28 percent more likely to find timely insights than those that rely solely on reporting.

Security, simplicity and speed are the three main benefits that business intelligence solutions bring and that determine the success of organizations. While AI focuses on helping computers gain personal insights, Business Intelligence allows entire organizations to gain access to the data they need to make fast, informed decisions.

It is undeniable that AI will have a major impact on businesses in the coming years, but one should not confuse one thing with another. By investing in BI, companies will be able to better prepare for the era of self-learning computers and lay the foundations for future decision-making by machines.