Business Analytics III: Modern AI, Deep Learning, and Generative AI

Business analytics refers to the methods enterprises—such as businesses, non-profits, and governments—use to analyze data to gain insights and make better decisions. This discipline is applied across various functions including operations, marketing, finance, and strategic planning. The advent of modern data collection methods in fields like bioinformatics, mobile platforms, and previously unanalyzable data (such as text and images) has led to an explosive growth in the volume of data available for decision-making. Utilizing data effectively to drive rapid, precise, and profitable decisions has become a critical strategic advantage for diverse companies including Walmart, Google, Capital One, and Disney. Moreover, many startups are emerging based on the application of AI and analytics to large databases. With the increasing availability of broad and deep sources of information—often referred to as "Big Data"—business analytics is becoming an even more essential capability for enterprises of all types and sizes. AI is starting to influence every dimension of business and society. In many industries, being literate in AI is becoming a prerequisite for successful business leadership. The Business Analytics sequence is designed to prepare you to take an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodologies, exploring their foundations, potential applications, and—perhaps most importantly—their limitations.