Generative AI for Financial Services

• Basic understanding of financial concepts
• Familiarity with AI and machine learning fundamentals (recommended but not required)

Audience

• Finance professionals
• Fintech developers
• AI specialists

Generative AI holds transformative potential within financial services by enabling the creation of tailored solutions for risk assessment, fraud detection, and customer engagement.

This instructor-led, live training (online or onsite) is aimed at finance professionals, fintech developers, and AI specialists across all levels of expertise who wish to leverage generative AI to transform financial services.

By the end of this training, participants will be able to:

• Understand the fundamentals of generative AI and its applications in financial services.
• Utilize generative AI tools and platforms for risk assessment, fraud detection, and customer engagement.
• Develop customized solutions using generative AI for financial services.
• Integrate generative AI solutions into existing financial systems and processes.
• Analyze and optimize generative AI models for improved performance.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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