Dacheng Xiu
Joseph Sondheimer Professor of Econometrics and Statistics
Dacheng Xiu
AI in Finance: Technologies Shaping the Future of Finance
Lead with confidence at the forefront of AI and blockchain innovation.
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 equips participants with the strategic insight to evaluate, invest in, and lead AI and blockchain initiatives—so they can drive innovation while managing risk and regulatory complexity.
Over five days at Chicago Booth’s Gleacher Center in downtown Chicago, you’ll examine how artificial intelligence and blockchain are transforming financial services in real time. Through practical frameworks, case insights, and applied discussion, you’ll build the strategic fluency to assess emerging technologies, identify sustainable sources of value, and confidently lead innovation in a rapidly evolving financial landscape.
This program serves as an elective to:
By attending this program, you will:
- Understand what modern AI can—and cannot—do in financial applications.
- See how leading FinTech firms use AI for prediction, automation, and decision-making.
- Develop a clear conceptual understanding of blockchain, cryptocurrencies, and DeFi.
- Assess realistic opportunities and limitations for these technologies in traditional financial institutions.
- Apply frameworks for managing risk, data challenges, and governance.
- Communicate more effectively with technical teams and make better strategic decisions about technology adoption.
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. 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 AI and Big Data? Definitions and misconceptions
- Economic drivers accelerating AI adoption
- 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
- Conceptual understanding of natural language processing, including NLP tasks and sentiment analysis, and advances leading to GPT-style models
- Strengths, constraints, and reasoning abilities of LLMs and their impact on analytics, automation, and communication in financial services
- Blockchain fundamentals and its role in reshaping financial infrastructure
- Smart contracts and programmable financial products
- Decentralized finance (DeFi) applications and opportunities
- Cryptocurrencies, stablecoins, and central bank digital currencies (CBDCs)
- Tokenization, digital identity, and settlement challenges
- Generative AI capabilities and their practical applications
- Agentic AI systems: concepts and impact
- Multimodal AI (language–vision) and cross-industry uses
- How these tools support scientific discovery, financial modeling, and risk assessment and business automation
- Case study: robo-advisors
- Evaluate risks, vulnerabilities, and governance challenges in AI and blockchain adoption
- Understand algorithmic bias, robustness, and ethical considerations
- Explore privacy and regulatory concerns impacting technology deployment
- Apply leadership frameworks for responsible and strategic adoption
- Align technology choices with organizational goals and practical guidance
Upcoming Sessions
Program dates are subject to change.
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