Edge AI for Financial Services

• An understanding of AI and machine learning concepts
• Experience with financial services and fintech applications
• Basic programming skills (Python recommended)

Audience

• Finance professionals
• Fintech developers
• AI specialists

Edge AI for Financial Services focuses on the deployment of Edge AI technologies in banking and finance. This course covers fraud detection, customer service enhancement, and risk management using Edge AI, providing practical knowledge for leveraging AI at the edge in the financial sector.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals, fintech developers, and AI specialists who wish to implement Edge AI solutions in financial services.

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

• Understand the role of Edge AI in financial services.
• Implement fraud detection systems using Edge AI.
• Enhance customer service through AI-driven solutions.
• Apply Edge AI for risk management and decision-making.
• Deploy and manage Edge AI solutions in financial environments.

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 Edge AI in Financial Services

• Overview of Edge AI and its applications in finance
• Benefits and challenges of using Edge AI in banking
• Case studies of successful Edge AI applications in finance

Setting Up the Edge AI Environment

• Installing and configuring Edge AI tools
• Integrating financial data sources and collection systems
• Introduction to relevant Edge AI frameworks and libraries
• Hands-on exercises for environment setup

Fraud Detection with Edge AI

• Introduction to fraud detection
• Developing AI models for real-time fraud detection
• Implementing anomaly detection systems
• Hands-on exercises for fraud detection

Enhancing Customer Service Using Edge AI

• Overview of customer service in financial services
• AI techniques for personalized customer interactions
• Implementing AI-driven chatbots and virtual assistants
• Hands-on exercises for customer service applications

Risk Management with Edge AI

• Introduction to risk management
• Using AI for real-time risk assessment and mitigation
• Implementing AI-driven decision support systems
• Hands-on exercises for risk management

Deploying and Managing Edge AI Solutions

• Deploying AI models on financial edge devices
• Monitoring and maintaining Edge AI systems
• Troubleshooting and optimizing deployed models
• Hands-on exercises for deployment and management

Tools and Frameworks for Financial Edge AI

• Overview of tools and frameworks (e.g., TensorFlow Lite, OpenVINO)
• Using TensorFlow Lite for financial AI applications
• Hands-on exercises with optimization tools

Real-World Applications and Case Studies

• Review of successful financial Edge AI projects
• Discussion of industry-specific use cases
• Hands-on project for building and optimizing a real-world financial AI application

Summary and Next Steps