AI in Finance
The financial industry is increasingly leveraging AI and ML to enhance decision-making, automate processes, and manage risks. In this session, students explore the applications of AI in finance, including fraud detection, trading algorithms, credit assessment, and risk assessment.
Fraud Detection
Fraud detection is a critical concern for financial institutions. In this subheading, students learn how AI and ML techniques can be used to detect and prevent fraudulent activities. They explore anomaly detection algorithms, pattern recognition methods, and behavioral analysis models. Students gain practical experience in building fraud detection systems that can identify suspicious transactions, detect identity theft, and mitigate financial losses.
Trading Algorithms
Trading algorithms powered by AI and ML have revolutionized financial markets. In this subheading, students delve into algorithmic trading strategies, including high-frequency trading, trend prediction, and portfolio optimization. They explore techniques such as reinforcement learning, time series analysis, and sentiment analysis. Students gain insights into the challenges of developing and deploying trading algorithms, including market volatility, regulatory compliance, and algorithmic fairness.
