More details are coming soon.  For inquiries, please contact [email protected].

Digital Leadership Training Series:
The Power Duo of AI & Big Data




Artificial Intelligence (AI) is only possible with big data, because we need a tremendous amount of data to “teach” or “train” AI systems. As its name suggests, AI has a form of intelligence of its own. It figures out which rules to follow based on the data that we feed them.

An AI application doesn’t just do what it’s been programmed to do. AI can go further than that. It responds to changing information and makes adjustment based on what it learns as it goes along. AI differs from supercomputers and other systems with powerful computing capabilities in one important way. AI systems are capable of not just computing, but actual learning — machine learning. The more data you give these machine learning networks and the more computational capability you give them, the better the result becomes because the results of previous machine-learning exercises can be fed back into the algorithms.


According to Mckinsey, AI will potentially contribute 13 trillion (USD) to the global economy by 2030. Similarly, PWC estimated that the global GDP will be 14% higher in 2030 as a result of AI – the equivalent of $15.7 trillion, more than the current output of China and India combined. Both sources confirmed the AI is extremely significant to the growth and survival of any businesses on earth.

The Power Duo of AI and Big Data are quietly taking over the global economy. Today’s more than $1 billion “unicorn” start-ups, such as Airbnb, Grab, Robinhood, Spotify and more, are mostly AI and Big Data driven platforms. These platforms make much of their money not by what they sell but by monetising the data captured in their platforms. AI will drive automation to all kinds of current processes in any industries. It will dramatically change the skill sets of current workforces. According to PWC, 30% of current jobs will be replaced by AI automation by 2030. Traditional product manufacturers, brands and intermediaries (or “the middleman”) in all major industries are being seriously disrupted by AI with no doubt. Their competitiveness and even survival are highly questionable if they don’t act now in a right way.


The next generation of Fortune 500 companies in the decade of 2020 will be mostly AI driven. Not just tech giants like Amazon, Alibaba, Airbnb, Grab and so on are leading the world but also traditional industry leaders like Citi, Walmart, Tesco, Coca Cola, Volkswagen, GE, Ctrip, Haier and so on are fighting back and have their own “AI first” strategy.

AI is no doubt revolutionise the whole world but what it means to you as business leaders. According to Porsche Consulting, AI is a driver for top-line growth through new AI-driven or AI-enhanced products and services, improved customer experience through new personalised customer interactions, and efficiency through automation and optimisation of business processes or augmentation of human tasks. The early adopters of AI will have the first mover advantage and it will inevitably divide the leaders and laggards even further. Every business leader today, no matter they are in traditional companies or in the middle of AI and Big Data transformation, has an urgency to formulate a winning and sustainable AI and Big Data strategy for their company. Every business in fact will be an AI business in this decade.


The programme will prepare the participants to lead their organisation’s AI strategy. This is a practical programme for business leaders and executives to learn how to transform their companies into AI and data-driven organisations that leverage the full potential of AI and Big Data. While the traditional industry leaders are trying to embrace Artificial Intelligence (AI) and Big Data as a strategic business enabler, majority of these companies are still struggling and are not generating the promised value of AI and Big Data. Customer centricity is the key for success. When developing AI/Big Data solutions, design thinking creates a clear vision and understanding of what the company is creating a solution for. Applying design thinking when building advanced data analytics solutions places a priority on what is needed from a human interaction perspective. The programme will empower participants to successfully kick-start and scale AI and Big Data across the organisation.

The participants will learn about how to formulate a winning AI and Big Data strategy for their companies. The learning outcomes of the programme are as follows:

  1. Formulate a right AI and Big Data strategy and roadmap to drive your company to become an AI and Data Driven enterprise
  2. Leverage on AI and Big Data to improve customer experience, grow your businesses and optimise your processes by studying successful and failure cases
  3. Comprehend the core concepts of Machine Learning, Deep Learning and the key technologies of AI and Big Data
  4. Utilise Design Thinking to unleash the power of AI/Big Data to enhance customer centricity
  5. Empower decision makers and users to take actions based on AI/Big Data analysis and recommendation
  6. Communicate effectively with data scientists and start-ups for sustainable AI/Big Data innovation and business growth
  7. Propose and approve business proposals for AI and Big Data projects with industry ROIs and KPIs
  8. And more


This programme is designed for business leaders and professionals in traditional industries. C-suite, to operations managers, technology officers and R&D in all industries are welcome.

No pre-requisite is required.


DR. TOA CHARM  湛家揚博士

  • Associate Professor, CUHK Business School
  • Chairman of Dr. Charm & Co. and OpenCertHub
  • Former Chief Public Mission Officer, Cyberport Hong Kong
  • Former Executive: HSBC, IBM, Oracle and Jardine Pacific
  • Chief Judge, 2020 & 2019 HK ICT Awards – FinTech
  • FinTech Advisory Panel, Hong Kong Institute of Bankers


2 days (6 hours per day)

Lectures, guest sharing, cases study, panel discussions

English / Chinese


Day 1



Day 2


1.  Core Concepts

–       Business Intelligence
–       AI and Big Data
–       Design Thinking and AI/Big Data

5. AI and Data Driven Organisation

–       Strategy & Leadership
–       Challenges & CSFs
–       Talents and Competence


2. AI & Big Data Innovations

–       Business Models
–       Applications
–       Monetisation


6. AI & Big Data Project Management

–       Initialisation & Prioritisation
–       Culture & Process
–       Business Case & ROIs


Fireside Chat with AI & Big Data Start-ups and Corporate User
“From Ideas to Business Impact”


3. Algorithm Primer

–       Machine Learning
–       Deep Learning


7. Sustainable Growth

–       AI Governance & Ethics
–       Data Privacy and Security


4. AI & Big Data Technologies Primer


 8. Future of AI and Big Data



Executive Diploma in ASEAN Entrepreneurship & Market Development (2nd Cohort) 東盟創業與市場拓展行政人員文憑 (第二班) English Version 此課程適合有興趣將業務拓展到東盟地區或到東盟地區工作的商務人士、創業家和專業人員。 課程將會探討和分析東盟國家的投資生態系統和營商環境,助你在籌劃業務時充分掌握當地情況。 網上報名 為何選擇東盟? 近年東盟的增長驅動了不同行業的供應和需求,包括製造、建築、貿易、零售、當然還包括創科。東盟各國政府積極鼓勵外商投資、發展基礎設施和數字化轉型,推動東盟成為外商直接投資的重要目的地。 擁有5 億人口的東盟地區,是世界第三大人口經濟體以及 2.8 萬億美元的 GDP。 隨著超過5% 的預估年增長率,到 2050 年,東盟預計將超過歐盟和日本,成為世界第四大經濟體,僅次於中國、印度和美國。 東盟有超過8 億35 歲以下的人口(佔總人口的 58%),預計到 2030 年東盟的中產階級將達到 3.34 億(佔總人口的 51%) 可持續的城市化進程是東盟人口增長的關鍵因素。據估計,到 2050 年,將近七成的東盟人口會居住在城市地區 (來源: US-ASEAN Business Council) 根據政府工業貿易處的公布,香港與東盟的自由貿易協定(FTA)和投資協定(IA)已於2021年2月全面生效,讓香港中小企業和科技初創企業能夠進入東盟市場,鼓勵他們在東盟國開拓商機。 課程目標 通過此課程,學員能夠: 了解東盟各國的市場機遇和挑戰 理解東盟地區的消費行為和企業文化 掌握在東盟地區開拓新客戶和尋找當地合作夥伴的不同方法 熟悉並利用創業生態圈中的資源 認識東盟各國政府的招商政策 制定東盟市場的進入市場策略(go-to-market strategy)和行動計劃 課程大綱 日期
Seizing the opportunity in the #ASEAN market was my topic today at #InnoPreneur Meetup of #HKPC. I talked about the growth in ASEAN, opportunities & challenges to enter the market. We introduced the ASEAN #Entrepreneurship & Market Development Executive Diploma Programme jointly organized by HKPC and me. It aims to empower #SMEs & #startups to enter to the ASEAN market. Find out more about the program