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コース概要
Introduction to Generative AI in Financial Services
- Overview of generative AI and its relevance to financial services
- Case studies of AI-driven solutions in risk assessment, fraud detection, and customer engagement
- Key benefits and challenges of using generative AI in the financial sector
Setting Up the Environment
- Introduction to OpenAI API and Google Cloud Platform
- Setting up accounts and accessing AI tools
- Basic configurations and initial setup
Developing AI Solutions for Risk Assessment
- Understanding the role of generative AI in risk assessment
- Building AI models for credit scoring and loan approval
- Assessing risk factors and predicting financial outcomes
Fraud Detection with Generative AI
- Challenges in fraud detection and prevention
- Utilizing generative AI for anomaly detection and pattern recognition
- Developing AI models to identify fraudulent activities
Enhancing Customer Engagement through AI
- Personalization and customization in financial services
- Creating AI-powered chatbots for customer support and interaction
- Improving customer experience with AI-driven recommendations and insights
Integrating Generative AI into Financial Systems
- API integration and data interoperability
- Deploying AI models in production environments
- Scaling AI solutions to handle large volumes of financial data
Evaluating AI Performance and Interpretability
- Metrics and benchmarks for AI performance evaluation
- Interpreting AI-generated insights and recommendations
- Ensuring transparency and accountability in AI decision-making
Ethical Considerations in AI Financial Services
- Ensuring fairness and non-discrimination in AI models
- Addressing privacy concerns and data protection
- Compliance with regulatory requirements and industry standards
Summary and Next Steps
要求
- Basic understanding of financial concepts
- Familiarity with AI and machine learning fundamentals (recommended but not required)
Audience
- Finance professionals
- Fintech developers
- AI specialists
14 時間
