BI and AI are different but complementary. “Intelligence” in AI refers to computer intelligence, while in business intelligence it refers to the more intelligent business decision-making that can result from the analysis and visualization of data. Business intelligence can help companies sort through the enormous amounts of data they collect. Despite all the enthusiasm for making intelligent, data-driven decisions, business intelligence (BI) and artificial intelligence (AI) are often thought of as synonymous.
The debate between AI and BI goes a long way. And while both help companies make critical decisions, there are crucial differences that separate them. Intelligence in AI refers to human-like computer intelligence, and intelligence in BI refers to intelligent decision-making. Let's take a closer look at the differences between business intelligence and artificial intelligence and understand how, together, they can drive modern business enablement.
We partner with organizations around the world to help them navigate the ever-changing business and technology landscape, lay strong foundations for their businesses, and achieve their business goals. In short, business intelligence aims to understand, deduce and improve business situations by improvising better decision-making, while machine learning automates this entire decision-making process. Business intelligence and artificial intelligence combine to create a perfect recipe that offers analytical solutions in any business situation. We know that artificial intelligence (AI) has something to do with machine learning, as does business intelligence (BI) with statistical models and data science.
Therefore, business intelligence and machine learning use different approaches to solve different problems. Artificial intelligence or AI is a broad term for intelligent computer systems that mimic human-like thinking and learning. The terms BI and AI are often used interchangeably in a business context to describe tools that obtain data-based information for decision-making. Both artificial intelligence (AI) and business intelligence (BI) are often misused or even confused with each other.
But how does learning occur? Is there a way for machines to learn? Are they different in different situations? Yes, there are different categories of machine learning algorithms that vary depending on the level of human intervention needed. Business intelligence is a technology used to collect, store, access and analyze data to help business users make better decisions. The main assumption is that the intelligence of human beings can be represented in terms of symbolic structures and symbolic operations, which can be programmed into a digital computer. Artificial intelligence in organizations not only aims to analyze and interpret large amounts of data, but also to act on the resulting findings and understandings.
That said, this isn't about a battle between BI and AI, but about how these two technologies can be the perfect combination for business excellence. They help a company maintain full control of the key factors of success by alarming it as soon as something happens. The goal of BI is to improve a company's strategic decisions, while data science develops laws, hypotheses, and algorithms that can drive business success.
