Program overview

The future will see large parts of our lives influenced by AI and Big Data.

Together, they have the power to transform how business works – tasks previously not amenable to automation can now be performed by algorithms with high accuracy. Business leaders are required to develop new forms of leadership that best facilitate the integration of human and machine thinking.

Presented by world-class faculty and leading industry practitioners from across the globe, the AI and Big Data for Executives program includes knowledge fundamentals in AI and Big Data, practical use cases in major industries in China, the U.S. and other AI-leading economies, and the latest research findings on AI development and governance in different cultures.

The program approaches AI and Big Data from a business perspective. You don’t need a technical background for this program.

You will emerge from this program with a forward-looking understanding of AI and Big Data, and frameworks to confidently apply AI in your own organization.

The program is designed for:

  • C-suite executives who are planning digital, technology, or data initiatives for their organizations
  • Senior executives who seek a general understanding of AI and Big Data, current trends, cutting-edge tools, and real-life practical applications
  • Manager who want to develop a new leadership mindset for orchestrating human and technological capabilities
  • Investors seeking AI opportunities and entrepreneurs in exploration of AI business models


Managers in China and the U.S. are willing to participate in new ways of working, farther along than others in their embrace of digital transformation.



Firms in China have successfully adopted AI into their business processes, followed by the U.S. (22%) and the EU (18%) in 2018.

Centre for Data Innovation


Top European manufacturers are implementing at least one AI use case in operations.

Capgemini Research Institute

Program Benefits

Get forward-looking understanding of true AI and big data from a global perspective

Grasp the core AI and Big Data concepts, such as machine learning models, deep learning and their relevance to your business

Explore the most advanced AI and Big Data applications in retail, manufacturing and services from China and the U.S. through cases, practitioner sharing and company visits

Learn from starter lessons on AI integration, and get a framework of how to make the most of your data for digital transformation

Expand your personal and professional network globally

Basic Program Information

  • FormatBlended
  • CertificateParticipants who successfully complete all modules will receive a CKGSB certificate and become a member of CKGSB International Community.
  • LanguageEnglish, simultaneous interpretation in Chinese and Korean

Live Online

  • Program date


    8 weeks
  • Fees

    USD 5,000

    CNY 32, 500

    GBP 3, 750

On Campus: Beijing

  • Program date


    3 days
  • Fees

    USD 6,000

    CNY 39, 000

    GBP 4, 500

Program Curriculum

  • Week 1 | Orientation & Module 1: A Macro view

    Orientation (2 hours)

    • Program kick-off: What is AI?
    • Ice-breaking session
    • Project instructions

    Module 1: A MACRO VIEW (2 hours)

    • Growth opportunities and challenges brought forth by AI
    • Two power houses of AI development: China and the U.S.

  • Week 2-3 | Fundamentals

    Module 2: FUNDAMENTALS (8 hours)

    • How AI works and typical problems it can solve
    • How Big Data and AI work together
    • Algorithm-based decision-making tools
    • Decision-driven data analytics
    • Leading with responsible AI

  • Week 4-6 | Applications and Implementations


    • AI-enabled marketing and retail
    • Intelligent manufacturing and logistics
    • AI and Big Data in services
    • AI implementation A-Z
    • Starter lessons from by AI frontrunners

  • Week 7 | Ai Frontiers In The U.S

    Module 4: AI FRONTIERS IN THE U.S. (4 hours)

    • Overview of AI development in the U.S.
    • Most advanced AI use cases
    • Trending AI investments and startups

  • Week 8 | Live Ai Use Cases

    Module 5: LIVE AI USE CASES (2 hours)

    • Business functions, algorithms and profit models
    • How to build an AI startup

  • On-campus | Ai Frontiers In China


    OCTOBER 26-28, 2021 | BEIJING, CHINA

    • AI development, policy, and governance in China
    • Best AI applications in China
    • Company visits to top Chinese AI companies

  • SUN Baohong

    Dean's Distinguished Chair Professor of Marketing

    Director of the CIM Center

    Associate Dean for CKGSB Americas

    Professor Sun was Carnegie Bosch Professor of Marketing at the Tepper School of Business at Carnegie Mellon University. She serves on the editorial boards of Journal of Marketing Research, Marketing Science, and Journal of Marketing. Her extensive consulting experience includes work with major corporations including Bosch, John Deere, IBM and WPP. An active contributor to media discussions on current business issues, Professor Sun’s research has been cited in The Economist, The New York Times, The Wall Street Journal, Time Magazine, and Bloomberg, among others.
  • LI Wei
    Professor of Economics
    Associate Dean, CKGSB Asia and Europe
    Dr. Li Wei formerly served as a professor at the Darden Graduate School of Business, University of Virginia. Previously, Prof Li was a research associate at the University of Michigan’s Institute for Social Studies and taught at Duke University’s Fuqua School of Business. Dr. Li Wei leads the Case Center of CKGSB which generates hundreds of original cases drawn from most successful and innovative companies, such as Sensetime and TSMC. An authority on Chinese economy and business, Dr. Li’s main research focus is on economic development, taxation, financial markets, corruption, corporate governance, corporate research and development, entrepreneurship, trade and investment in China. His work has been published in prominent academic journals and books, and some of his research results have also been featured in Foreign Affairs, New York Times, Los Angeles Times, and on CNNfn (CNN Money) and Bloomberg TV. Professor Li has extensive consulting experience with multinational firms, Chinese firms, and the World Bank.
  • JING Bing
    Associate Professor of Marketing
    Prof. JING Bing’ s areas of expertise include, E-Commerce, Product Customization, Product Differentiation, Product Line Design and Pricing, Word of Mouth Marketing. He earned his PhD in business administration from the University of Rochester in 2001.Between 2001 and 2007, he was an Assistant Professor of Information Systems at the Stern School of Business at New York University. Professor Jing’s research interests include mass customization, product line design and pricing, product differentiation, word-of-mouth marketing, etc.
  • Eddie NING
    Assistant Professor of Marketing
    Dr. Z. Eddie Ning earned his Ph.D. in Business Administration in 2019 from University of California, Berkeley, where he also received a B.A. in Applied Mathematics and Economics. His current research focuses on information acquisition and its implications for pricing mechanism, alliance, product development, targeting, and privacy. He worked at Federal Reserve Bank of San Francisco as a policy analyst before starting his doctoral study.
  • SUN Tianshu 孙天澍
    Visiting Professor of Information Systems
    Tianshu Sun 孙天澍 is a Visiting Professor of Information Systems at CKGSB. He has been tenured at USC Marshall School of Business, held a joint appointment in Computer Science and been recognized with Robert R. Dockson Named Professorship.

    Tianshu (孙天澍)’s research is focused on digital transformation, digital technology, digital platform, and digital economy. Tianshu (孙天澍)’s research conducted in collaboration with leading private and public sector organizations addresses how firms and governments can combine data analytics, field experiment, causal inference, machine learning, and economic models to improve business decisions and industry policies. His current research aims to understand 1) the technology, organizational and strategy factors that drive successful digital transformation of enterprises and local economies, 2) how firms and government can facilitate and regulate the use of personal data in the digital economy; 3) how digital platforms can design data-driven interventions to influence social sharing; 4) how organizations can leverage mobile and internet-of-things to integrate E-commerce and offline retail.

    Tianshu 孙天澍 has worked closely with a variety of organizations including Facebook, Alibaba and Adobe. Many findings from these studies have been implemented by collaborating organizations.

    Tianshu 孙天澍 has given over 80 talks at top universities (Harvard, MIT, Wharton, Chicago, CMU, NYU, etc.) and international conferences, and has over a dozen research papers published in top journals such as Management Science, Information Systems Research, MIS Quarterly, QME and Journal of Health Economics. Tianshu (孙天澍)’s research has received 16 Best Paper Awards (ICIS, CIST, WITS, INFORMS), and served as the Associate Editors at ISR, Management Science and MISQ. Tianshu 孙天澍 has developed a series of new courses on Digital Transformation, Big Data Analytics, and Digital Platforms and was honored with USC Golden Apple Award (for Best Professors).

    Tianshu 孙天澍 received his Bachelor in Physics from Nanjing University, and Master in Physics and PhD in Information Systems from University of Maryland.
  • ZHANG Juanjuan
    John D.C. Little Professor of Marketing
    Juanjuan Zhang is the John D. C. Little Professor of Marketing at the MIT Sloan School of Management. She combines social sciences with AI to optimize various business decisions in this fast-changing world. Her research has won multiple best-paper awards, and has generated successful use cases in product management, salesforce management, and social media optimization. She served as Editor of her field’s top journal, Management Science. She is a recipient of MIT Sloan’s highest teaching award. Professor Zhang holds a B. Econ. from Tsinghua University and a Ph.D. in Business Administration from the University of California, Berkeley.
Guest Speakers
  • LIU Zhiyi

    Director of the Intelligent Industry Research Institute


  • XU Yinghui

    Director of the Vision Lab

    Alibaba Damo Academy

  • DOU Dejing

    Head of the Big Data Lab (BDL) and Business Intelligence Lab (BIL)

    Baidu Research

  • Pradeep U.N.

    Director of Customer & Field Experiences

    Microsoft Services

  • YANG Xiaoning

    Founder of ChiFortune Venture Capital

    CKGSB EMBA Alumnus

  • Elise JIANG

    Deputy General Manager and Head of Data Science

    Tencent Video

  • ZHU Lijun


    CoEvolution Technologies

  • Jason LOH

    Head of Analytics & AI

    SAS Global Technology Practice AP

  • Jack XU

    Founder and CEO


Company Partners

Below is a sample list of companies for visits, industry speakers and cases.

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