Digital Treasury Transformation: Managing Risk with AI & Machine Learning

21st - 22nd January 2026

Online - Live

This 2-day online course introduces treasury, finance, and risk professionals to the principles of treasury risk management, combined with practical training in using AI and machine learning tools via Orange, a no code, user friendly platform. Participants will learn to enhance cash flow forecasting, liquidity management, and risk mitigation using ML workflows without coding or complex infrastructure. The course also provides an overview of AI/ML tools available today to help participants assess fit for their treasury operations.

Peter Bokma

Peter Bokma is a global treasury expert with 45+ years of experience across major financial centers. He has led treasury transformations at Qatar Islamic Bank, PwC, and ING. A pioneer in AI-driven treasury, he has delivered 70+ programs worldwide on risk, forecasting, and advanced treasury systems.

Learning Outcomes

Key Topics

Participants will:

Grasp the foundational principles of treasury risk management and its evolving role.
Understand how AI/ML tools can transform forecasting, risk mitigation, and decision-making.
Apply machine learning in real-world treasury functions using Orange’s no-code environment.
Build, interpret, and optimize ML models for treasury workflows.
Drive greater accuracy and agility in treasury operations with data-driven insights.

Reason

To Attend This Training

Gain an advanced, practical edge in applying AI/ML to treasury without writing a single line of code.
Future-proof your skill set with hands-on exposure to real-world tools.
Enhance your organization’s treasury efficiency, resilience, and foresight.
Elevate your professional profile by mastering data-driven, ML-enhanced financial decision-making.
Learn from expert guidance and walk away with reusable workflows you can deploy immediately.

Course

Details

DAY 01

Treasury Risk Management & AI/ML Foundations

Treasury Risk Management Essentials

Understand treasury’s strategic role in liquidity and financial stability.
Review key treasury functions: cash flow forecasting, debt, and liquidity management.
Examine critical risk types: FX, credit, interest rate, and liquidity risk.

Traditional Forecasting & Risk Mitigation

Explore trend-based and historical forecasting techniques.
Identify pitfalls of manual and spreadsheet-driven approaches.
Learn conventional mitigation strategies: hedging, reserves, and buffers.

Introduction to AI/ML in Treasury

Demystify ML concepts for financial risk professionals.
Evaluate available AI/ML tools (Orange, Power BI + Azure ML, RapidMiner, KNIME).
Understand the power of no-code ML, especially in treasury environments.

Hands On Setting Up Orange

Install and configure the Orange platform.
Navigate the Orange interface and basic workflow tools.
Load and examine sample datasets for exploratory analysis.

Bridging Manual & AI-Based Treasury Forecasting

Compare traditional and AI-driven approaches side-by-side.
Highlight key differences in speed, scalability, and accuracy.
Discuss use cases that benefit from ML integration.

DAY 02

Practical ML for Treasury Risk Management

Building Forecasting Models in Orange

Prepare datasets and understand the role of data hygiene.
Load real-world treasury data for model training.
Build initial ML models using regression and decision tree algorithms.

Improving and Interpreting Forecasts

Tackle forecasting complexities like seasonality and market drivers.
Experiment with new variables to strengthen predictions.
Interpret ML model outputs and measure performance.

Visualizing and Communicating Insights

Use Orange’s visualization suite for insights presentation.
Build dashboards tailored for treasury team decision-making.
Design compelling narratives from data for executive reporting.

Streamlining Forecasting Workflows

Create modular and reusable ML workflows.
Save, share, and deploy workflows for consistency.
Identify where human review vs. automation is most effective.

Strategic Applications of ML in Treasury

Apply ML insights to stress testing and risk simulations.
Use predictive analytics in capital allocation and liquidity planning.
Explore scalability and future-proofing with emerging tech.

Course Fees

Registration Fees:

Book 1 delegate - Pay USD 1,295
Book 2- 3 delegates Pay USD 1,095
Book 4 or more -Pay USD 895

Book Now