In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data. You will also learn methods to utilize supervised and unsupervised machine learning to enhance your fraud detection methods. You will also hear from leading industry experts in the world of data analytics, marketing, and fraud prevention.

Big Data enabled AI will begin to change the game for online marketing and website presence – and amazing tools are being launched now to democratize access. While it is easy to get blasé about the impact of cheaper data in general, consider this: In 2017, online shopping finally came online en masse in India thanks to technological advances in the domestic telecommunications network and a drop in the price of data transmission. This means that India last year began to see a world that western audiences, in particular, have now grown blasé too. Except that there are 700 million Indians. That means a country several times the size of the United States is able to go shopping online for the first time. And boy, has that made a difference.

A large part of the industry, with years of experience training their teams, designing their strategies and operating their business niches, either voluntarily or under obligation, are having to adapt to new market conditions. One of the most frequent shifts in this industry, including retail and investment banking, is how artificial intelligence can be used as a competitive edge to earn money old- and new-style. Methods like machine learning and deep learning are helping entities in many different operational fields. Logically, APIs specializing in machine learning and deep learning are the starting point for any transformation. They allow banks to create finalist products that create value for the entity and its customers: they allow extracting important information from Big Data, searching for patterns to tailor offers, price corrections and detecting bank fraud processes.