AI isn’t coming — it’s here. And it’s already transforming the finance industry. “Mastering AI and Machine Learning for Finance” is your comprehensive guide to meeting this transformation head-on. In five insight-packed sessions, you’ll learn how to harness the full potential of AI and machine learning from experts at MIT, Stanford, Babson, Deloitte, AICPA-CIMA, and Workday, including how to:
Learn from leaders at MIT, Stanford, Babson, Deloitte, AICPA-CIMA, and Workday.
Read research-backed content on leading with AI and ML.
Let your network know what you know.
Watch all 5 lessons to earn your Certificate.
Erik Brynjolfsson is director of the Stanford Digital Economy Lab, senior fellow at the Stanford Human-Centered AI Institute, research associate at the National Bureau of Economic Research, cofounder of Workhelix, and a bestselling author.
Sayan Chakraborty is copresident for product and technology at Workday. He is also a member of the National Artificial Intelligence Advisory Committee (NAIAC), which advises the president and executive branch on AI-related policy issues.
Tom Davenport is the President’s Distinguished Professor of Information Technology & Management at Babson College and cofounder of the International Institute for Analytics. Among other works, he is coauthor of All-In on AI (HBR Press, 2023).
Jorja Jackson is vice president for legal and regulatory affairs at Workday. She oversees experts in litigation, cybersecurity, governance, regulation, and ethics. Previously, she held senior legal roles at Salesforce, Robert Half, and ArcSight.
Nitin Mittal is a principal and global generative AI leader at Deloitte. He advises clients on achieving competitive advantage through data and AI-powered transformation. He is coauthor of All-In on AI (HBR Press, 2023).
Ash Noah is vice president and managing director for learning, education, and development at AICPA & CIMA, the global association for accountants and finance experts. Previously, he was CEO/Americas at MergeCo and held C-level roles at TNT Express.
Michael Schrage is a research fellow at the MIT Initiative on the Digital Economy. His current research focuses on the future of key performance measurement and AI. He is the author, most recently, of Recommendation Engines (MIT Press, 2020).
“AI and C-Suite” is a collection of MIT SMR articles that expand on key topics covered in “Mastering AI and Machine Learning for Finance.” Each article provides high-level, research-backed recommendations for the successful top-down implementation of concepts covered in the learning series.