AI for Asset Managers: RWA (Real World Asset) Analysis & Stablecoin Strategy Workshop (with certificate / CPT) "This workshop is already full. The next cohort will be organised on 28 August 2025"

This workshop is already full. The next cohort will be organised on 28 August 2025. If you are interested to register the 28 August 2025 cohort, please register at https://academy.cyberport.hk/ enpowerment/312. This 4-hour workshop, hosted at Cyberport, is designed for asset managers seeking to leverage Artificial Intelligence (AI) for real-world asset (RWA) analysis and stablecoin investment strategies

About this course

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

Speakers:
Mr. Andy, Chi Kwong Lam, Director, Developer and Instructor, IHASHING ACADEMY
Mr. Aaron Tsang, Trainer of IHASHING ACADEMY
Mr. William Sin, Trainer of IHASHING ACADEMY
Mr. Joe Man, Full Stack Developer of IHASHING ACADEMY

Remarks: Participant are required to bring their laptop for attending the workshops

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.

Certificate:
This certificate is for a course jointly organised by Cyberport Academy and Hong Kong Securities and Futures Professionals Association, and is recognised by the Securities and Futures Commission as a 4-hour Continuous Professional Training (CPT) course.

*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

COURSE DETAIL

AI & Cybersecurity

01 Aug 2025, 1400 - 1800

HK$1500 (Early Bird HK$1200)

Financial Practitioners and anyone interested in digital assets

ENROLL

Deadline: 25 Jul 2025

training@cyberport.hk

COURSE DETAIL

AI & Cybersecurity

01 Aug 2025, 1400 - 1800

HK$1500 (Early Bird HK$1200)

Financial Practitioners and anyone interested in digital assets

ENROLL

Deadline: 25 Jul 2025

training@cyberport.hk

By the end of this course, you will learn:

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

Speaker

Mr. Andy, Chi Kwong Lam

Director, Developer and Instructor, IHASHING ACADEMY

Andy Lam is a seasoned FinTech and blockchain educator with over 20 years of industry experience and 8+ years specializing in Web3 technologies. Holding a Master’s degree in Computer Science, Andy is a leading contributor to the Signum Network and an expert in DeFi, Real-World Assets (RWA), and NFTs. As an Australia Global Talent Nominee in FinTech and Blockchain, Andy has delivered training across major platforms including HKU, OUHK LiPACE, and the Hong Kong Federation of Trade Unions. His practical, innovation-driven approach to blockchain education has earned widespread recognition, including accolades from BusinessFocus and the TQUK Excellence Awards. With a strong commitment to accessible and future-ready tech training, Andy equips learners with hands-on skills and credentials that open doors to international opportunities.

Mr. Aaron Tsang

Trainer of IHASHING ACADEMY

Aaron Tsang is a seasoned expert in Compliance and Control, with over 15 years of dedicated experience in the financial regulatory sector. As a Certified Anti-Money Laundering Specialist (CAMS) and Certified AML Professional (CAMLP), Aaron possesses deep expertise in AML, KYC, Internal Control, and Regulatory Compliance. As a board advisor to licensed financial institutions, he’s guided strategic compliance decisions and overseen 50+ successful licensing applications. Aaron also advises Virtual Asset Service Providers and digital asset firms, bridging traditional and digital finance. His practical, forward-looking approach makes him a trusted trainer and consultant, equipping professionals with the knowledge to meet evolving industry standards. Renowned for his clarity and depth, Aaron delivers targeted training that empowers teams to navigate complex regulatory frameworks with confidence.

Mr. William Sin

Trainer of IHASHING ACADEMY

William Sin is a blockchain and fintech expert with extensive education and training in the field. He completed a course in Digital Transformation, covering AI, IoT, cloud, blockchain, and cybersecurity at the Massachusetts Institute of Technology, and earned a Professional Certificate in Blockchain from the University of California, Berkeley. Also, he holds a Professional Certificate in Fintech from the University of Hong Kong and a Bachelor of Business Administration from the University of Management and Technology. William's contributions to the sector have been recognized with several awards, including the Most Outstanding Blockchain & Web3 Solutions at the HKCT BUSINESS AWARDS 2023 and the BusinessFocus Excellence Awards in Blockchain Solutions & Web3 Education.
As a certified educator registered with EDB, William has delivered specialized blockchain courses for legal and financial professionals, and he is a regular speaker and lecturer at major industry events. His expertise and forward-thinking approach make him a leading figure in blockchain education, equipping professionals with the skills necessary to thrive in the digital economy.

Mr. Joe Man

Full Stack Developer of IHASHING ACADEMY

Joe Man is an innovative Full Stack Developer with a robust background in blockchain technology, specializing in the development of decentralized applications (dApps). Holding a MicroMaster in A.I. & Programming from Tecky Academy and a Bachelor's degree in Industrial Engineering and Engineering Management from City University of Hong Kong, Joe has been instrumental in advancing blockchain initiatives. At iHashing Technology Co., Ltd, he led the development and maintenance of various dApps and played a key role in the successful completion of the TVP and DTSPP projects in Hong Kong. Joe has contributed to notable blockchain projects such as IHOST, a comprehensive tool for building on the eco-friendly Signum blockchain, and Bettermi.io, a Web3 lifestyle and loyalty dApp that rewards users for fitness activities on the green Signum Network.