Language of instruction
Chinese
Current course fees
23,930
Location
Shanghai
X ACADEMY
Global Explorer Summit
-
2024.07.25
Major Course X-Core
Business artificial intelligence: Revolutionizing finance, economy, and entrepreneurship
AI for Business: Transforming Finance, Economics, and Entrepreneurship
COURSE INTRO
Course Introduction 01
Compared to personal choices in life, every analysis and decision in the fast-paced business field is like a gamble, where being wise and accurate can lead to drastically different outcomes. With the rapid development of technology in recent years, the process of business intelligence is advancing at an unprecedented speed. Whether it's predicting stock market trends, quantifying investment strategies, or uncovering consumer preferences and building intelligent business models, AI has become a practical tool for changing business strategies across various industries. For future enterprises and entrepreneurs, the ability to quickly capture market opportunities and achieve breakthrough growth in fierce competition, mastery of AI technology will be a key determining factor.
"TechX Business Artificial Intelligence: Revolutionizing Finance, Economy, and Entrepreneurship" will take you from the basics of AI business applications and systematically explain how to leverage AI to empower entrepreneurship, optimize business processes, and promote sustainable development. The course content covers core technologies such as financial data analysis, market forecasting, intelligent dialogue systems, document processing, and big data-driven marketing strategies, and through case studies and practical projects, will guide you to learn how to use AI to make precise decisions and optimize operational processes. At the same time, we will explore the applications of AI in fintech, intelligent customer service, targeted advertising, and other fields, laying a solid foundation for business intelligence, promoting entrepreneurs to achieve leapfrog growth in digital transformation and green development, and become pioneers leading the future business transformation.
COURSE OUTCOME
Course Outcome 02
By the end of the course, you will have the opportunity to apply what you have learned and complete a type of output, such as:
Stock Price Prediction Tool: Develop a stock price prediction system based on historical data, using machine learning algorithms to analyze trends in the stock market. Help investors make better investment decisions through accurate stock price predictions, reducing investment risks.
Customer Behavior Analysis System: Use data science and artificial intelligence to analyze customer purchase history and behavior patterns, developing a recommendation system. Increase customer loyalty and satisfaction, boosting sales through personalized recommendations.
……
*The final type and content of the output are based on the explorer's finished product after participating in the capstone project X-Capstone.
POTENTIAL OPPORTUNITIES
POTENTIAL OPPORTUNITIES 03
Business Analyst, Data Scientist, Market Strategist
Those who want to become a business analyst, AI product manager, or are interested in the application of AI in finance, marketing, supply chain optimization, etc., and want to learn how to transform AI technology into business value.
COURSE CONTENTS
Course Contents 04
01 Overview of Business Artificial Intelligence
Theory:
Core Concepts of Artificial Intelligence
Traditional Business Work Models
The Impact and Value of AI on Business
Current Status, Bottlenecks and Frontline Trends in AI Technology Development
Practice:
Initiating Business Competitions and Team Formation; Preliminary Discussions and Direction Selection
02 Basics of Business Data Science
Theory:
Types and Sources of Business Data
Data Cleaning and Preprocessing
Data Visualization
Methodologies and Practices of Exploratory Data Analysis (EDA)
Practice:
Examples of Financial Data Cleaning and Mining; Business Competition Guidance
03 Core Methods and Models of AI
Theory:
Detailed Explanation of Core Paradigms of Machine Learning
Detailed Exploration of Deep Learning (DL)
Core Algorithms and Mechanisms of Model Training
Model Optimization and Improvement of Generalization Ability
Practice:
Practical Operations of Deep Learning Projects; Business Competition Guidance
04 AI-Driven Marketing Management
Theory:
Modern Marketing Management Framework and Digital Marketing
AI-Driven Marketing Management
Case 1 - Principles and Practices of Personalized Recommendation Systems
Case 2 - Intelligent Customer Service and Chatbots
Practice:
Marketing Case Analysis; Business Competition Guidance
05 AI Empowered Enterprise Management
Theory:
Modern Enterprise Management Framework
AI-Driven Enterprise Management
Enterprise Data Management
Practice:
Case Analysis of Enterprise Management; Business Competition Guidance
06 AI-Driven Investment Decisions
Theory:
Traditional Investment Decision Process
Core Applications of AI in Quantitative Investing
Case 1 - Stock Price Prediction
Case 2 - Credit Risk Assessment
Practice:
Building Factor Analysis Models; Business Competition Guidance
07 Business Large Models and Their Applications
Theory:
The Rise and Technical Principles of Large Language Models (LLM)
Core Capabilities and Limitations of LLM
Application Scenarios of LLM in Business
Agent Theory and Business Application Scenarios
Practice:
LLM and Agent Practices; Business Competition Guidance
08 Other AI Business Applications and Supporting Tools
Theory:
In-depth Intersectional Applications of AI in Various Vertical Industries
AI-Assisted Design Tools: Applications of Graphic Design tools such as Midjourney, DALL-E, and Stable Diffusion in Concept Design and Material Generation. UI/UX Design: AI Tools Assisting in Prototyping and User Experience Analysis.
Practice:
AI-Assisted Development Tools: Web Development & General Coding: GitHub Copilot; Business Competition Guidance
09 AI Business Ethics, Competition Display and Summary
Theory:
Core Issues and Importance of AI Business Ethics
Detailed Explanation of Core Ethical Principles
AI Privacy and Discrimination: Federated Learning
Case 1 - Fairness and Non-Discrimination
Case 2 - Privacy and Data Protection
Case 3 - Safety and Reliability
Case 4 - Misinformation and Manipulation
Practice:
Presentation of Competition Results
PREREQUISITES
Prerequisites 05
Possess basic knowledge of statistics, programming, and data analysis (such as Python and Excel), with a certain understanding of economics or business management.
* During the preparatory phase, mentors and academic leaders will assist you in completing the prerequisite learning.
"What XA has brought to me, the improvement of CS literacy goes without saying, but what I am more grateful for is being able to meet the top and most outstanding peers of my age. I have seen living MIT, CIT students, consulted TAs who can do nothing but debug, and also gained a bunch of board game friends. Perhaps saying that my dream is to change the world will be laughed at by people, but XA has given me the confidence to turn my dreams into reality."
This road is long, and the places to go are filled with poetry and ideals. The tears and sweat left behind yesterday make me more tenacious and courageous now. This is what XA has taught me: we can always be a little braver."
Haiyi Jin Explorer
Fudan University
MENTORS
Previous Course Mentors 06
时骥 Ji
2025 学术导师
首都师范大学 交叉科学研究院副研究员，硕士生导师
目前从事控制理论与应用、人工智能与图像处理应用研究（雷达、太赫兹），主持和参与多个国家级纵向科研项目和横向课题，在 SIAM Jour. Contr. Optim., IEEE TAC，IEEE TMI 等国际知名期刊发表多篇高水平论文，担任 IEEE TAC, ACC, IEEE TMI 等多个顶级期刊和会议审稿人，为本科生和研究生讲授《线性代数》《深度学习的数学基础与工程实践》《数据挖掘与机器学习》等课程。
ACADEMIC LEADS
Previous Course TAs 07
Zhang Siyu Nora
2025 Academic Assistant
Bachelor's in Economics from Johns Hopkins University, USA
Deeply engaged in AI, finance, economics, and business, focusing on AI-driven macro and microeconomic modeling and business analysis. Previously participated in central bank green finance and monetary policy research, selected for Citibank's diversity program; startup project received the first round of non-dilutive funding from the university; NIBC investment banking competition global finals team (Top 5%); as an SWS Women in Finance council member, organized over 10 intergenerational industry dialogues, reaching more than 300 members. Aspires to build a
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OUR CIVILIZATION WAS BUILT ON TECHNOLOGY. OUR CIVILIZATION IS BUILT ON TECHNOLOGY. TECHNOLOGY IS THE GLORY OF HUMAN AMBITION AND ACHIEVEMENT, THE SPEARHEAD OF PROGRESS, AND THE REALIZATION OF OUR POTENTIAL. FOR HUNDREDS OF YEARS, WE PROPERLY GLORIFIED THIS – UNTIL RECENTLY. WE, AT X ACADEMY, ARE HERE TO REVITALIZE THAT SPIRIT. TO US, THE FUTURE IS A CANVAS OF VAST POSSIBILITY, PAINTED WITH THE BRUSHES OF INNOVATION, CREATIVITY, AND OPTIMISM. WE BELIEVE IN A FUTURE WHERE TECHNOLOGY CONTINUES TO BE THE BACKBONE OF ADVANCEMENT, NOT JUST IN MATERIAL TERMS BUT AS A MEANS TO ELEVATE HUMAN EXPERIENCE AND CONSCIOUSNESS. WE ARE THE FUTURE OPTIMISTS, THE DREAMERS, THE MAKERS, AND THE DOERS. WE STAND READY TO COLLABORATE, TO INNOVATE, AND TO BUILD A BETTER TOMORROW WITH YOU. JOIN US, AS WE EMBARK ON THIS JOURNEY TO IGNITE THE FLAMES OF PROGRESS AND TO CHERISH THE TECHNOLOGY THAT MAKES IT POSSIBLE. IT IS TIME, ONCE AGAIN, TO RAISE THE TECHNOLOGY FLAG. IT IS TIME TO BE TECHNO-OPTIMISTS. WITH X ACADEMY, LET'S BUILD A BRIGHTER FUTURE TOGETHER.