Dacheng Xiu
Joseph Sondheimer Professor of Econometrics and Statistics
Dacheng Xiu
AI in Finance: Technologies Shaping the Future of Finance
AI is reshaping finance. Lead what comes next.
Next Session
Coming Soon/TBD
Location/Format
In Person
Chicago, Chicago
Investment Fee (in USD)
TBD
Questions? Connect with our enrollment advisors.
Next Session
Coming Soon/TBD
Location/Format
In Person
Chicago, Chicago
Investment Fee (in USD)
TBD
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 five-day program, you’ll examine how AI—including generative AI and large language models—along with technologies like blockchain, 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, LLMs & Emerging Technologies
- Build a clear understanding of generative AI, large language models, 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 and blockchain 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.
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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.
Practitioner 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.
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 in Finance
- Agentic AI and Autonomous Financial Systems
- How these tools support scientific discovery, financial modeling, and risk assessment and business automation
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Micro Risk—Bias, Fairness, and Hallucination in Financial AI
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Macro Risk — Labor Displacement and Capital Concentration
- Model Risk, Algorithmic Failures, and Governance
Upcoming Sessions
Program dates are subject to change.
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