AI & Data Analytics for Finance Professionals Agenda

Set up Lo-Code AI and ML Environment

• Common usage of data analytics in Finance
• Overview of data analytics, AI and ML applications in finance
• Choosing between Excel and AI tools
• Set up local Lo-Code AI environment

Analysing Financial Data

• Time series data in finance
• Excel™ based time series tools
• Time series decomposition using Lo-Code ML
• Moving average analysis using Lo-Code ML
• Time series and moving average case studies using live data

Decision Making Using Financial Data

• Deep learning in time series forecasting
• Reusing saved models
• RNN and LSTM case studies using live data
• Performance analysis using Lo-Code ML
• Automated valuation using Lo-Code ML

Advanced Decision Making Using Financial Data

• Unsupervised learning and pattern detection in finance
• Supervised learning for finance
• Understanding model usefulness
• Using logistic regression for predicting financial distress
• Using Random Forest to predict financial distress
• Scenario analysis and simulation