A company working in this data-driven world is soon drowning in the sea of information. Huge volumes of data are generated by almost all activities, from market trends to customer behaviors, daily. However, mere collection of data does not suffice; businesses need to be able to rake out insights and make good decisions based on the data. This is where the advent of the convergence of Artificial Intelligence and Business Intelligence comes into play. With AI, raw data can be converted into insight, thereby enabling businesses to make data-driven decisions, hence a competitive advantage. AI-driven BI conducts business by harnessing machine learning algorithms, natural language processing, and computer vision to identify hidden patterns, predict future trends, and automate business processes. In this digest, we explore how AI is changing business intelligence and why businesses need to embrace this powerful technology. The Rise of Big Data and the Need for Intelligent Analytics Over the past decade, a truly exponential amount of data has been flooding in from all businesses, massively spurred on by social media, the IoT, and digital transactions. This enormity in the amount of data is sometimes referred to as “Big Data,” and it both challenges and offers business opportunities. On one hand, there is an overload due to a great volume and different kinds of data from which meaningful insights can be extracted. On the other hand, businesses that can make good use of the power of Big Data have improved knowledge of customer behavior, market trends, and operational efficiency. The hitch is that traditional BI tools are typically not designed for the size and complexity of Big Data. That’s where AI comes in. https://www.bridgingpointsmedia.com/artificial-intelligence-and-business-intelligence/