AI and Machine Learning Cash Flow Forecasting: 23-24 July @ 2-4pm UK time

Agenda

Day 1 (2 hours)

Setting the Scene

• Understanding cash flow statements and forecasting challenges: data quality, inefficiencies, and strategy gaps.

Unlocking AI’s Potential

• Moving from automation to AI and machine learning.
• How AI improves data quality, detects anomalies, and boosts efficiency.

Practical Examples

• Automating data collection and tagging.
• Using AI to identify missing data and create visual comparisons of forecasts vs actuals.

Implementation Steps

• Connecting, validating, and transforming data for AI use.

Reducing manual effort with AI tools.

Q&A

• Addressing your challenges and exploring AI’s potential in treasury.

Day 2 (2 hours)

Recap of Day 1

• Key insights from automation, AI, and machine learning applications in cash forecasting.

Introduction to Machine Learning

• How machines learn through supervised, unsupervised, and reinforcement learning.
• Exploring features and their impact on predictions.

Practical Applications of Forecasting

• Tagging transactions using machine learning.
• Building models for operating cash flows and leveraging time series tools like ARIMA, SARIMA, and Prophet.

Advanced Forecasting Techniques

• Combining time series models with machine learning for enhanced accuracy.
• Engineering features for high-quality predictions.

Key Takeaways

• Tagging as the foundation for machine learning models.
• Creating robust forecasts by integrating AI tools.

Instructor

Jessica Campbell

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Jessica is an experienced teacher and data scientist who specialises in Python analysis, visualisation and automation. As a former quantitative research scientist, she has been recognised with several Awards for her presentation work, her ability to communicate technical concepts to non-technical audiences, and her contributions to diversity, equity, and inclusion. She holds a PhD in Astronomy & Astrophysics from the University of Toronto with numerous publications in esteemed research journals.

James Kelly

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James is an accomplished FTSE 100 treasurer with a proven track record at leading UK companies like Pearson, Sky, and Kingfisher. Recognised for his innovative use of technology, he is the current holder of Adam Smith, Alexander Hamilton and TMI awards. A sought-after speaker for the ACT and EuroFinance, James is dedicated to sharing his expertise and empowering others in the industry.

Dominic Lynch

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Dominic is an innovative group treasurer who has built cutting-edge centralised treasury operating models for high growth firms in brokerages and B2C businesses. A former consultant for S&P 500 corporates and financial institutions on financial risk management and hedge accounting, he holds multiple treasury transformation, cashflow forecasting and AI awards from Treasury Today (Adam Smith) and TMI.