In today’s data-driven business world, you might hear terms like AI, BI, and CI thrown around in meetings and strategy sessions. It often feels like an alphabet soup of analytics – and it’s easy to get confused. Is AI going to replace our analysts? Do we need BI dashboards, or is that old news in the age of AI? And what on earth is CI? If you’re a business manager nodding along politely while quietly wondering about the difference between AI and BI, you’re not alone. In this analytics terminology guide, we’ll demystify these acronyms in plain English. We’ll explain Artificial Intelligence (AI), Business Intelligence (BI), and Customer Intelligence (CI), highlight the difference between AI and BI, and show with simple real-world examples (from sales, marketing, and operations) how each one works. By the end, you’ll have a clear grasp of this “alphabet soup” and how these tools can help turn raw data into strategic insights for your business.