Business Intelligence vs Artificial Intelligence-Battle of the Brains

Discover the key differences between Business Intelligence (BI) vs Artificial Intelligence (AI) with a comparison of their focus, input data, tools, and goals.

Business Intelligence vs Artificial Intelligence-Battle of the Brains
 |  BY Nishtha

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights.  While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. If you are wondering how artificial intelligence differentiates business intelligence, this blog will allow you to discover the top differences based on certain aspects, including tools, applications, and contribution areas. The blog will also guide you through how combining AI and BI will help improve business solutions. 


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AI refers to human-like computer intelligence, whereas intelligence in BI refers to intelligent decision-making. The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions.

On the other hand, business intelligence is a technology utilized to make better decisions in business solutions. The debate between AI and BI is not new. While both help organizations make critical decisions, there are significant differences between the two. Before diving into their differences, let us first briefly understand these terms. 

What is Artificial Intelligence?

Artificial intelligence is a branch of computer science concerned with creating machines capable of thinking and solving problems like the human brain. These machines can execute human-like tasks and can learn from prior experiences. It is widely used in robotics and games.

What is Business Intelligence? 

Business intelligence (BI) is the collection and analysis of business data using various methods and technologies. The primary goal of BI is to give organizations meaningful information and analysis to help them make decisions. Businesses that use BI may make choices five times faster than they might otherwise.

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Is Business Intelligence Part of Artificial Intelligence? 

BI and AI are different yet complementary technologies. The term "intelligence" in AI refers to computer intelligence, whereas "intelligence" in BI refers to more intelligent business decision-making that data analysis and visualization may provide. BI can assist businesses in organizing the massive amounts of information they acquire.

AI can help BI tools provide clear, actionable insights from the study data. An AI-powered system can explain the significance of each data point at the granular level and help human operators understand how that data may be translated into real-world business decisions. Businesses may synthesize massive amounts of data into coherent plans of action by embracing the combination of AI and BI.

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Difference Between Business Intelligence and Artificial Intelligence

Although AI and BI work well when integrated, they vary in a few aspects. So, let’s understand the difference between both based on such parameters. 

Category

Business Intelligence (BI)

Artificial Intelligence (AI)

Definition

A set of processes, architectures, and technologies that convert raw data into meaningful and useful information for business analysis purposes.

The ability of a machine or computer program to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and natural language processing.

Focus

Historical data analysis, reporting, and visualization.

Predictive and prescriptive analytics, machine learning, and deep learning.

Input Data

Structured data from various sources, such as databases, spreadsheets, and ERP systems.

Structured, semi-structured, and unstructured data from multiple sources, such as social media, IoT devices, and sensors.

Tools

OLAP, data visualization, reporting, and dashboards.

Machine learning platforms, natural language processing, image and speech recognition, and robotics process automation.

Goal

To provide insights that can help organizations make informed decisions based on past data trends.

To enable machines to perform cognitive tasks that typically require human intelligence, with the ability to learn from data and improve over time.

Business Intelligence vs. Artificial Intelligence: Primary Goal 

Artificial intelligence aims to build a machine that can function similarly to the human brain. It enables businesses to estimate and forecast client demand, competitive positioning, and economic trends and develop human-like intelligence in machines.

The primary goal of business intelligence is to analyze data and predict the future based on previous data. It analyses historical data and enables businesses to make better data-driven decisions that improve operational efficiency, customer satisfaction, and employee happiness.

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Business Intelligence vs. Artificial Intelligence: Tools and Technologies

Artificial Intelligence uses complex algorithms to make logic. It uses the BFS (Breadth First Search) algorithm and operates on the FIFO principle. Other common algorithms used in artificial intelligence are the Depth-first search algorithm, uniform-cost search algorithm, and iterative deepening depth-first search algorithm. 

On the other hand, business intelligence uses query software, spreadsheets, and data mining tools for analysis, and it uses the linear aggression module for data classification. The common algorithm used in business intelligence includes Naive Bayes, K-Means Algorithm, Apriori Algorithm, and Decision Tree Algorithm. 

Business Intelligence vs. Artificial Intelligence: Applications 

Artificial intelligence is primarily used in robotics, virtual reality, image recognition, machine learning, gaming, natural language processing, and other fields. In contrast, the primary applications of business intelligence include business processes such as data warehouses, data modeling, data visualization, dashboards, analytics, reporting, and business activity monitoring. 

Business Intelligence vs. Artificial Intelligence: Contribution Areas 

Artificial intelligence combines technology and science, contributing to automation, personalization, and optimization.

On the other hand, business intelligence contributes to techniques such as ad-hoc analytics, enterprise reporting, visualization, and OLAP (online analytical processing). 

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Choosing the Right Brain for your Business

When integrated with business intelligence, artificial intelligence gives optimal analytical solutions for any business circumstance. Individually, BI only conducts data analysis, data mining, and other data-related tasks. When integrated with AI, business intelligence may deliver predictive solutions to any business by analyzing historical data trends.

Through data management and analysis, BI also offers a wealth of valuable tools for AI. Organizations may use the insights produced by integrating AI and BI to quickly and accurately gain results in the market.

Individual data analysis takes a long time. AI-powered BI tools may help firms cut data analysis time and undertake more successful data analytics projects. When powered by AI, BI may uncover previously unknown issues through more in-depth research and insights into unexamined data. Whether leveraging BI or AI, businesses that can unlock the full potential of data are likely to succeed in the data-driven world.

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About the Author

Nishtha

Nishtha is a professional Technical Content Analyst at ProjectPro with over three years of experience in creating high-quality content for various industries. She holds a bachelor's degree in Electronics and Communication Engineering and is an expert in creating SEO-friendly blogs, website copies,

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