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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 lessons, 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:
- Recognize finance’s role in the AI productivity boom.
- Build effective data strategies with the help of new AI models.
- Use AI to automate your workflows and increase productivity.
- Understand coming AI regulations and their impact on finance.
- Train your talent for success in an AI-augmented workforce.
Watch each lesson below.
Lesson 1
AI and the Coming Productivity Boom
This lesson describes how generative artificial intelligence is likely to affect productivity, what kinds of new business models are arising from generative AI, and why finance is playing an increasingly significant role in the AI revolution.
About the speaker
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.
Lesson 2
Explainable AI: Finance’s Role in Creating an Effective Data Strategy
This lesson defines explainable and interpretable artificial intelligence, discusses considerations for developing flexible data strategies for AI and machine learning, and offers insights on establishing new performance and value-creation metrics.
About the speaker
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).
Lesson 3
AI-Fueled Finance: Practical Use Cases for Intelligent Automation
This lesson describes how companies can become AI-fueled, discusses building the business case for AI-enabled automation, and offers practical use cases for both accounting and financial planning and analysis (FP&A).
About the speakers
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).
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).
Lesson 4
Regulatory and Business Implications of AI
This lesson explains why AI needs to be regulated, what businesses need to understand about AI regulation, and how the United States and other nations worldwide are regulating this new technology.
About the speakers
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.
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.
Lesson 5
Upskilling Finance Talent for an AI-Augmented Workplace
This lesson examines how generative AI and related technologies are reshaping finance work, changing the distribution of finance work, explores options for upskilling across the finance assessment model for effectiveness (FAME), and describes new data skills that finance professionals need today.
About the speaker
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.