🧠 1. Learning Enhancement
- Smart Tutoring: Use AI platforms (like ChatGPT or specialized accounting tutors) for 24/7 help on IFRS, financial ratios, banking operations, etc.
- Customized Learning Paths: AI can identify weak areas (e.g. errors in consolidations or misapplied ratios) and recommend specific modules or exercises.
- Interactive Simulations: Some AI tools simulate banking environments where you manage portfolios, assess credit risk, or balance financial statements.
📊 2. Financial Data Analysis
- Automated Analysis: Use AI to analyze real-world banking data – like the Excel files you uploaded – to:
- Spot trends in profitability
- Perform ratio analysis
- Predict credit risk or investment returns
- Natural Language Insights: Convert raw data into plain-language summaries of performance.
📚 3. Research & Report Writing
- Summarize Reports: AI can summarize lengthy annual reports or regulatory papers (like Basel III).
- Draft Financial Reports: Assist in writing management commentary, risk disclosures, or ESG notes.
🧾 4. Audit & Compliance Simulation
- AI Audit Assistants: Learn how AI tools are used in modern audits (e.g., to detect anomalies or fraud in transactions).
- RegTech Applications: Understand how AI ensures compliance in real-time – e.g., anti-money laundering (AML) monitoring.
🏦 5. Banking Use Cases in the Course
- Credit Scoring: AI models for evaluating credit risk.
- Fraud Detection: Use of machine learning to flag unusual transactions.
- Portfolio Management: Robo-advisors and algorithmic trading strategies.
🛠️ 6. Hands-on Tools to Practice
- Power BI / Excel + AI Add-ins: For dashboards and forecasting.
- Python/R + AI Libraries: For more advanced modeling.
- ChatGPT Plugins: Use in simulations or case analysis.
Would you like me to show you how AI can be used to analyze the banking Excel files you uploaded? I can walk you through how a student might use AI in practice.
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