Dacheng Xiu
Joseph Sondheimer Professor of Econometrics, Statistics, and Finance
Dacheng Xiu
AI in Finance—In Chicago and Hong Kong
Technologies Shaping the Future of Finance
Next Session
November 23-November 26, 2026
View All Dates
Location/Format
In Person
Hong Kong Campus, Hong Kong
Investment Fee (in USD)
$10,000 USD
Questions? Connect with our enrollment advisors.
Next Session
November 23-November 26, 2026
View All Dates
Location/Format
In Person
Hong Kong Campus, Hong Kong
Investment Fee (in USD)
$10,000 USD
Questions? Connect with our enrollment advisors.
AI in Finance is built for executives ready to lead at the intersection of finance, artificial intelligence, and emerging technologies.
In this four-day program, you’ll examine how AI and other new financial technologies are reshaping financial services across risk, underwriting, and client strategy. Through practical frameworks, real-world cases, and applied discussion, you’ll build the strategic fluency to evaluate emerging technologies, identify where AI creates real value, and lead innovation in a rapidly evolving landscape.
Walk away with the insight and confidence to assess AI investments, navigate regulatory complexity, and drive innovation within your organization.
This program serves as an elective to:
By attending this program, you will explore key themes in:
AI in Finance: Capabilities and Use Cases
- Understand what AI can—and cannot—do in financial applications.
- See how leading firms apply AI across underwriting, risk, and client strategy.
Generative AI, Agentic Systems, and Emerging Technologies
- Build a clear understanding of generative AI, large language models (LLMs), and agentic systems.
- Real-world AI implementation
- Analyze real case studies to understand what worked, what didn’t, and why.
AI Strategy & Investment Decisions
- Identify high-impact opportunities and evaluate build-vs-buy decisions.
Risk, Governance & Compliance
- Assess key risks, including bias, model failures, and regulatory considerations.
Leading AI Transformation
- Strengthen your ability to make strategic decisions and lead AI initiatives with confidence.
Who Should Attend
Mid- to senior-level executives responsible for evaluating, implementing, or shaping AI initiatives within their organizations.
Ideal for executives seeking to enhance risk management, compliance, operational efficiency, and competitive strategy in response to emerging technologies.
This program benefits both functional finance leaders and leaders in product, data and technology within financial services.
Download the program brochure for detailed participant profiles and insights into who will benefit most from this experience.
Download Brochure
Faculty Teaching This Program
At Booth, our distinguished faculty exemplify dedication and expertise, bringing deep passion to their teaching. Their steadfast commitment extends beyond traditional instruction, focusing on empowering every Executive Education participant, across all programs and global campuses, to achieve their professional and leadership goals.
Juergen Rahmel
Director AI Applied Research, HSBC and Adjunct Professor, HKUST
Juergen RahmelPractitioner Insights
This program often features world-class guest speakers from globally recognized organizations. Participants gain firsthand insights from senior leaders who share real-world perspectives on strategy, leadership, and organizational transformation.
Panelists and Guest Speakers
Gracy Chen
CEO at Bitget
Gracy Chen
Allen Huang
Head and Professor of Accounting at the Hong Kong University of Science and Technology (HKUST)
Allen Huang
Geoff Jiang
President of the Group and Founder and Chief Executive Officer of AlphaToken
Geoff Jiang
Michael Law
Senior Fintech Director, Hong Kong Monetary Authority
Michael Law
Kelvin Lei
Chief Executive Officer and Co-Founder of AQUMON
Kelvin Lei
Program Outline
- What is Artificial Intellegience
- The Economics of Data and AI in Finance
- Creating Value in Finance: how data, computation, and algorithms create value in finance
- Intuition behind machine learning and predictive algorithms
- Impacts on decision-making across financial contexts
- Practical use cases, including pattern recognition and investment analysis, to understand both capabilities and limitations
- AI in Lending and Credit
- AI in Insurance
- AI in Wealth Management
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From NLP to Large Language Models
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Reasoning Models and the Inference Flip
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Enterprise Deployment in Finance
- Generative AI and LLMs in Finance
- Agentic AI and Autonomous Financial Systems
- How these tools support scientific discovery, financial modeling, and risk assessment and business automation
- Micro Risk—Bias, Fairness, and Hallucination in Financial AI
- Macro Risk — Labor Displacement and Capital Concentration
- Model Risk, Algorithmic Failures, and Governance
Advance Registration Benefit
This program includes an advance registration benefit when you register by the specified date. Discount is applied during the registration process.
- May 2027 Cohort (Chicago): $11,500 USD ($10,000 if registered by April 5, 2027)
- November 2027 Cohort (Hong Kong): $10,000 USD ($9,000 if registered by September 27, 2027)
Upcoming Sessions
Program dates are subject to change.
Download Brochure
Download the program brochure for in-depth insights on who should attend, a schedule preview, past participant profiles, location highlights, networking opportunities, and what to expect. When doing so, you’ll also receive an editable justification letter to help you make the case to your employer for your attendance.
All fields required.
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Frequently Asked Questions
In this section, you’ll find answers to frequently asked questions about Chicago Booth Executive Education programs.
Frequently Asked Questions