Instructor
Marc Hamilton
Instructor
Marc Hamilton is a strategy-oriented finance executive with proven successes in change management. Mr. Hamilton has over 30 years of extensive practical experiences with data analytics, process design and technology implementation. His roles have provided broad exposure to functional, operational and management challenges facing organizations in the era of systems intelligence.
As a technologist CPA, Mr. Hamilton frequently speaks from his experiences on big data, data science, artificial intelligence and the developing Blockchain infrastructure. He also frequently presents AICPA cybersecurity content.
Mr. Hamilton holds a Masters in Tax Accounting from the University of Alabama and practiced with both Deloitte & KPMG before moving into a business and industry roles including VP of Taxation, Treasurer and Chief Financial Officer. He currently serves as CFO at Three Notch Group, Inc.
In 2026, cash forecasting has evolved from a backward-looking "gut feel" exercise to a forward-looking predictive science. This session explores how AI-driven tools are reshaping treasury management by identifying hidden patterns in historical data and real-time transactional flows. We will discuss the transition from static spreadsheet models to dynamic, intelligent forecasts that incorporate macroeconomic indicators and customer payment behaviors. Participants will evaluate various AI forecasting methodologies—including the rise of "Agentic AI" for autonomous scenario planning—and learn how to perform automated variance analysis to understand the "why" behind cash fluctuations. The session provides a roadmap for implementing AI-enhanced liquidity strategies that improve forecast accuracy, reduce idle cash, and support more confident strategic decision-making.
Predictive analytics and real-time liquidity management.