Generative AI for Financial Insight: Summarization & Strategy Workshop (with certificate)

Step into the future of finance with this focused workshop on Generative AI for financial insight

About this course

What to learn in this workshop?

Designed for professionals and curious learners alike, this session explores how AI-driven summarization and strategic prompting can extract key insights from complex financial data. Learn techniques to interpret earnings calls, market reports, and financial news with speed and clarity. Discover real-world use cases that demonstrate how Generative AI enhances analysis, supports decision-making, and streamlines workflow. Led by industry experts, this hands-on experience equips you with the tools to turn information into impact—redefining how financial strategy is shaped.


Learning Objectives
Equip participants with practical skills to:

•  Use Generative AI to summarize lengthy financial documents

•  Extract key takeaways

•  Generate investment directions based on AI-driven insights


Workshop Agenda

Session 1: Foundations of Generative AI in Finance

•  What is Generative AI?

•  How LLMs (Large Language Models) process financial text

•  Hands-on exercises


Session 2: Prompt Engineering for Financial Summarization

 •  Crafting effective prompts for summarizing financial documents

•  Techniques to extract key metrics, trends, and risks

•  Hands-on exercises


Session 3: Generating Investment Directions from AI Summaries

•  How to guide LLMs to produce strategic investment suggestions

•  Aligning AI output with portfolio objectives

•  Hands-on exercise


Session 4: Building a Mini AI Assistant for Analysts

•  Automating the workflow: from report ingestion to investment memo

•  Hands-on exercises


Workshop Information & Fees:

Date: 26 September 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:
 

•  Portfolio managers
•  Quantitative analysts
•  Risk and compliance officers
•  Financial strategists
•  Data scientists in finance

Language: Putonghua

Speaker: Dr. Xu Weidi, Chief Algorithm Engineer, INF Hong Kong Limited

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

 Fee:
*Early bird price:
 - HK$1,200 per head (with early bird code: ABSU250926PM)
Promotion Period: This offer is valid from now until 12 September 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

COURSE DETAIL

AI & Cybersecurity
26 Sep 2025, 1400 -1800
HK$1500 (Early Bird HK$1200)
Portfolio managers, Quantitative analysts, Risk and compliance officers, Financial strategists, Data scientists in finance

ENROLL

Deadline: 19 Sep 2025

By the end of this course, you will learn:

1

Use Generative AI to summarize lengthy financial documents

2

Extract key takeaways

3

Generate investment directions based on AI-driven insights

Speaker

Dr. Xu Weidi

Chief Algorithm Engineer, INF Hong Kong Limited
Dr. Xu Weidi holds a PhD from the Computational Intelligence Laboratory at Peking University, with deep expertise in artificial intelligence and natural language processing. He is a recipient of the Second Prize in the Beijing Science and Technology Natural Science Awards, recognizing his significant contributions in the field. Currently serving as Chief Algorithm Engineer at INF Hong Kong Limited, Dr. Xu previously worked as a researcher at Ant Group’s Artificial Intelligence Laboratory. His work centres on neural-symbolic systems, aiming to build trustworthy and interpretable AI models. At INF, Dr. Xu integrates deep learning with symbolic reasoning to enhance model interpretability and generalization. He also leads to apply generative AI across real-world financial scenarios. Under his leadership, INF won the Hong Kong Hang Seng Index Innovation Challenge and collaborated with leading international financial institutions to deploy AI advanced applications.