Course description

In the module, the course participants will explore real-world examples of Machine Learning in different business contexts, including personalization on the web, financial applications, and autonomous vehicles. They'll learn about multiple applications of Machine Learning in finance, such as fraud detection and identity verification, as well as the opportunities and challenges of autonomous vehicles. Through analysis of various Recommender Systems, they shall better understand their impact on markets and be able to address the challenges of each. By the end of this module, they will have a richer understanding of existing Machine Learning technologies and how they are transforming industries and markets. They should be able to explore how to strategically implement Al within the organization and manage Al governance. They Will also examine how to develop a portfolio approach of Al projects and learn how quick wins and long-term projects can help companies successfully utilize the power of machine intelligence. By the end of this module, they should able to better navigate the risks of Al and construct a more efficient and successful Al strategy for business.