Aurélie Jean has close to 20 years of experience in computational science applied to a broad range of disciplines. After 11 years of academic research, Aurélie is now running two companies, including a deeptech AI startup in early detection of breast cancer. She is the author of several bestseller essays on algorithmic science as well as a sci-fi novel. Aurélie is also a columnist on sciences and technology, and is teaching algorithmic science in executive education. She is also a research fellow for the Hult Business School and The Digital Economist. Aurélie is an investor and a board member of several companies in the United-States and in France.
This course is designed to provide participants with an understanding of how artificial intelligence (AI) and machine learning (ML) can be used to create value in various business contexts. In this course, participants will learn how to identify opportunities to apply AI and ML in different business areas, such as marketing, finance, operations, and customer service.
This course is designed to provide a comprehensive understanding of the transformative power and ethical considerations of AI in modern business practices. Participants will explore the evolution of AI, delve into current trends and technologies, and understand the implications for future business models. With a focus on both theoretical knowledge and practical application, this program covers the ethical dimensions of AI, the regulatory landscape, and strategies for integrating AI responsibly into business operations.
Data Management