Digital Treasury Transformation: Managing Risk with AI & Machine Learning
14th - 15th January 2026
Online - Live
Meet Our Trainer
Peter Bokma
Peter Bokma is a globally respected treasury expert, financial strategist, and corporate educator with over 45 years of experience across Europe, the Middle East, Asia Pacific, and the United States. He has held senior executive roles, including Chief of Treasury and Investments at Qatar Islamic Bank, and has led major financial transformation initiatives for organizations such as PwC Saudi Arabia, ING Group, and other global institutions. Peter specializes in treasury modernization, asset liability management, complex derivatives, and advanced treasury technologies, and is a pioneer in applying AI and machine learning to cash flow forecasting, hedging, and risk automation. A seasoned thought leader and trainer, he has delivered 70+ high impact programs worldwide, advising banks, corporations, and governments on intelligent, future ready treasury strategies, aligned with Basel III, IFRS, Islamic finance, and SOX standards.
Learning Outcomes Key Topic
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
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.
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 futur -proofing with emerging tech.
Course Fees
Get in Touch_____________________________
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- Branch Office: Office # 209, 2nd floor, Noor Trade Center, Gulshan Iqbal Block 13 - A, Karachi, Pakistan
- +92-301-2938376
- training@corsol.net