•  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

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

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 

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

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