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.
Creating Value in Finance: how data, computation, and algorithms create value in finance
AI for Investment and Decision-Making
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-Powered Finanical Products and Services
AI in Lending and Credit
AI in Insurance
AI in Wealth Management
Large Language Models and the New AI Stack
From NLP to Large Language Models
Reasoning Models and the Inference Flip
Enterprise Deployment in Finance
Generative AI Technologies, Agentic Systems, and AI-Powered Automation
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
Responsible AI: Risks, Ethics, and Governance in Finance
Micro Risk—Bias, Fairness, and Hallucination in Financial AI
Macro Risk — Labor Displacement and Capital Concentration
Model Risk, Algorithmic Failures, and Governance
Programme Objective
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.
Programme Audience
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. Stay Informed