What to learn in this workshop?
Targeting professionals with varying levels of AI expertise, the workshop combines theoretical insights with practical applications, focusing on Hong Kong’s burgeoning digital asset ecosystem. Participants will explore AI-driven tools for RWA tokenization and stablecoin portfolio management, aligning with the city’s new Stablecoins Ordinance (May 2025). Through interactive exercises and case studies, attendees will gain actionable skills to enhance investment decision-making and compliance in the evolving digital finance landscape.
Learning Objectives
• Understand AI applications in RWA analysis and stablecoin strategies
• Learn to use AI tools for predictive modeling and risk assessment in asset management
• Explore Hong Kong’s regulatory framework for stablecoins and its impact on investment strategies
• Develop skills to integrate AI-driven insights into portfolio management
• Gain hands-on experience with AI tools for real-world financial use cases
• Understand compliance requirements for tokenized assets and stablecoins
Workshop Agenda
Session 1: Introduction to AI in Asset Management
Objective: Understand AI’s role in RWA analysis and stablecoin strategies
Key Topics:
• Overview of AI in finance: Machine learning, natural language processing, predictive analytics
• RWA tokenization: Concepts, benefits, and challenges
• Stablecoins: Types, market trends, and Hong Kong’s regulatory framework
• Case study
• Group exercise: RWA Tokenization Brainstorm
Session 2: AI-driven RWA Analysis
Objective: Apply AI tools to analyze RWAs for investment decisions
Key Topics:
• AI techniques: Regression models, clustering, and sentiment analysis for market trends
• Data sources: Market data, blockchain analytics, and public financial datasets
• Practical demo: Using Python (scikit-learn) to predict RWA price trends
• Case study: Tokenized real estate valuation using AI models
• Group exercise: AI-powered RWA Valuation
Session 3: Stablecoins Strategies and Compliance
Objective: Design stablecoin investment strategies and understand compliance
Key Topics:
• Stablecoin use cases: Remittances, liquidity management, and tokenized asset trading
• Hong Kong’s Stablecoin Ordinance: Licensing, reserve management, and AML/CFT compliance
• AI for compliance: Automating AML checks and Travel Rule requirements
• Case study
• Group exercise: Stablecoin Portfolio Strategy
Workshop Information & Fees:
Date: 01 August 2025
Time: 2:00pm-6:00pm (Call time: 01:45pm)
Venue: Oval Room, Smart-Space FinTech 1, Level 6, Core E, Cyberport 3
Format: Lecture + Hands-on Exercises + Group Discussion
Target Audience: Financial practitioners and anyone interested in digital assets
Language: English / Cantonese
Speaker: Mr. Andy, Chi Kwong Lam, Director, Developer and Instructor, IHASHING ACADEMY
Fee:
*Early bird price:
-
HK$1,200 per head.
Promotion Period: This offer is valid from now until 17 July 2025.
*Regular price:
-
HK$1,500 per head.
*Cyberport Community Start-ups, including Cyberport current incubatees, current CCMF grantees, and Cyberport alumni. The individuals are required to pay 100% of the training fee in advance and reimburse 75% of the training fee from Cyberport through the following two funding schemes upon successful completion of the training (MUST NOT be absent or late for more than 15 minutes per module):
1. Incubation Programme for Smart Living Start-ups (CLP-SLS): please refer to the Guides and Notes for reimbursement requirements, process and details at
https://bit.ly/4n2Gh1r; or
2. Market Development Support Scheme (MDSS): please visit MDSS official webpage for funding application, and details at https://www.cyberport.hk/en/entrepreneurship/overseas_mainland_market_development_support_scheme_mdss/
2.1 To apply for reimbursement of 75% of the training fee under the Market Development Support Scheme (MDSS), applicants must submit their application at least seven (7) working days before the commencement date of the workshop
*All monies collected will be used for Cyberport’s public mission start-up events and activities
Learners will NOT be given any certificate and attendance record if they are late and absent for more than a total of 15 minutes