1-Day Workshop: AI for Fraud Prevention & Risk Management
Course Information
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Overview
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Learning Outcomes
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Who Should Attend
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Testimonials
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Trainer's Profile
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Course Outline
This one-day workshop is specifically designed for professionals in fraud management who do not have a coding background. The focus is on introducing user-friendly AI tools that can be utilized for detecting and preventing fraud without the need for programming skills. The course will cover fundamental concepts of AI in fraud management, practical applications, and hands-on sessions with accessible AI tools.
Participants will gain:
- An understanding of how AI can be applied in fraud management without the need for coding.
- Practical experience with user-friendly AI tools.
- Knowledge on how to integrate these AI solutions into their existing fraud management processes.
Post-Workshop Support:
- Access to online resources and communities for further learning.
- Technical support forums for specific AI tools.
Note: Learners are required to bring an internet-enabled laptop
This course is suitable for:
- Fraud Analysts
- Risk Management Professionals
- Financial Auditors
- Compliance Officers
- Business Managers in finance and e-commerce sectors
Prerequisites: No prior coding or technical experience is required. A basic understanding of data analysis and familiarity with financial operations is advantageous.
"Trainer has practical knowledge and experience in the various field industries enabled relevant sharing. Engaging discussions with trainer and trainees." - David Sy
"Alvin is a captative trainer, he is able to stimulate interest in participants. Discussions and case studies really helped me with absorbing the content." - Tanya Tang, Middle Management
"Excellent work from trainer! Alvin Lam is very experienced and professional. Keep it up!" - Koh Kheng Soon
"Mr Alvin demonstrates live use cases for Ethical AI, going above and beyond the textbook examples. Love the fact that he successfully made a technical topic -super interesting and highly relevant."
"Trainer is well versed in the field. Provides useful real life examples to aid understanding and learning."
Artificial Business and Blockchain Technology Expert: Alvin Lam (Co-Founder of AI Vision Fund)
Alvin Lam, Co-Founder of AI Vision Fund. MIT and Oxford Certified Expert in Artificial Business and Blockchain Technology. Alvin has more than 20 years of experience in enabling technology and processes to serve businesses. With an unparalleled unique combination of business and IT Consultancy, Alvin has established himself as one of the most highly regarded thought leaders in Asia, specializing in the areas of Artificial Intelligence, Business Blockchain and digital business strategy. Through his engagement with deep tech solution vendors and C-level executives, Alvin provides valuable insights into business solutions for executives’ decision-making. MIT Sloan Executive Education & MIT CSAIL, Professional Certificate in Artificial Intelligence University of Oxford, Certificate in Oxford Blockchain Strategy MBA, Murdoch University BSc (Merit) Computer Engineering, Nanyang Technological University Institute of Adult Learning, Advanced Certificate in Training and Assessment
Session 1: Introduction to AI in Fraud Management (2 Hours)
- Basics of AI and Machine Learning
- AI's Role in Detecting and Preventing Fraud
- Case Studies: AI Success Stories in Fraud Management
- Introduction to User-Friendly AI Tools
Break (15 minutes)
Session 2: Recognizing Fraud Patterns with AI (1.5 Hours)
- Understanding Fraudulent Transactions and Behavior
- Using AI to Identify and Analyze Fraud Patterns
- Hands-On Exercise: Interactive session with a tool like IBM Watson Assistant for creating fraud alert systems.
Lunch Break (1 hour)
Session 3: Implementing AI Tools for Fraud Detection (2 Hours)
- Setting Up and Configuring AI Tools for Fraud Management
- Evaluating and Interpreting Outputs from AI Tools
- Hands-On Session: Exploring a platform like SAS Visual Analytics for fraud detection.
Break (15 minutes)
Session 4: Integrating AI For Risk Management (1.5 Hours)
- Use cases of AI in Risk Management
- Future of AI in Risk Management
- Best Practices for Implementing AI Solutions
- Maintaining and Updating AI Tools for Optimal Performance
- Discussion and Q&A: Sharing experiences, insights, and addressing queries about using AI tools in fraud management.