Programme Overview

What is 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.

 

Why is this Power Duo of AI and Big Data so critical for the success of large and small-to-medium traditional businesses in the decade of 2020?

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.

Why do business leaders have an urgency to formulate a winning AI strategy for their companies?

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.

 

Learning Outcomes

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

Certificate of Attendance

Certificate of Attendance will be awarded to participant upon completion of the programme.

Who Should Attend

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.

Programme Curriculum

 

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

 

 




Request a Brochure

 

APPLY NOW

Duration : 2 days (Total 12 hours)

Programme Dates: 18 & 19 November 2020 (Wed & Thu)

Venue: Cheng Yu Tung Building, CUHK Shatin Campus or Live virtual class (Zoom)

Programme Fee:

HK$16,500

RTTP Rate*: After reimbursement, the programme fee per eligible participant is HK$5,500 / HK$5,167 / HK$4,675 for the programme fee HK$16,500 / HK$15,500 / HK$14,025, respectively.

*The programme has been included in the list of registered public courses under the “Reindustrialisation  and  Technology Training Programme” (RTTP) - funding scheme under the Innovation and Technology Fund.

Each participant will receive a complimentary copy of the new book <數碼力大提升> written by Dr. Toa Charm

Faculty

 

Prof. Toa CHARM

Associate Professor of Practice in Management, CUHK Business School

Director of Business Development, The Asia-Pacific Institute of Business

Biography

 

 

 


 

Programme Details

Programme Dates: 18 & 19 November 2020 (Wed & Thu)

Medium of Instruction: English / Chinese

Duration: 2 days (6 hours per day)

Venue: Executive Education Suite, 1/F, Cheng Yu Tung Building, The Chinese  University of Hong Kong (Shatin Campus) or Live virtual class (Zoom)

Programme Fee:

HK$16,500

Each participant will receive a complimentary copy of the new book <數碼力大提升> written by Dr. Toa Charm

RTTP Rate*: After reimbursement, the programme fee per eligible participant is HK$5,500 / HK$5,167 / HK$4,675 for the programme fee HK$16,500 / HK$15,500 / HK$14,025, respectively.

*The programme has been included in the list of registered public courses under the “Reindustrialisation  and  Technology Training Programme” (RTTP) - funding scheme under the Innovation and Technology Fund. Companies interested in applying for RTTP training grant (two-thirds of programme fee for each eligible participant) for their employee(s) to attend this programme should apply via the online system at least two weeks before the commencement of the programme.

  • Early Bird offer: HK$15,500 (register by 21 September 2020)
  • “Learn together” offer: HK$15,500 (enroll in the same programme with friends)

Remarks: Two applicants must enroll together at the same time in the same programme. Therefore, this offer does not apply when enrollment of two participants at different times or for different programmes.

  • Alumni rate: CUHK/CUSCS/APIB Alumni can enjoy a 15% discount on the programme fee
  • Corporate rate: please contact our education professionals for details

 

APPLY NOW




Other Programme in Digital Leadership Series for Executives

October, 2020

Competing in the Digital Economy:

Platform Revolution & Breakthrough

Learn More

 


Contact Us

Miss Teresa Chung

Phone: (852) 3943 4413
Email: execed@cuhk.edu.hk





課程介紹

(課程詳細內容請參考英文版本)

Return to English version for more details

課程內容

 

第一天 第二天
 1.  主要概念

- 商業智能
- 人工智能和大數據
- 設計思維與人工智能 /大數據

 5. 人工智能和數據驅動組織

- 戰略與領導
- 挑戰與關鍵成功因素
- 人才和能力

 

 2. 人工智能與大數據創新

- 商業模式
- 應用
- 數據貨幣化

6. 人工智能與大數據項目管理

- 項目始創與選擇策略
- 文化與過程
- 立案與投資回報

 

與人工智能和大數據初創始創人以及大型企業用戶對話

“從點子到實現在業務上”

3. 算法入門

- 機器學習
- 深度學習

7. 可持續增長

- 人智能治理與道德
- 數據隱私與安全

 

 

 4. 人工智能與大數據技術入門

 

 8. 人工智能和大數據的未來

 

 

 

 




 

現在申請

時間 : 2天(共12小時)

日期: 2020年11月18日至19日(星期三和星期四)

地點: 香港新界沙田香港中文大學鄭裕彤樓 / Zoom

課程費用:

HK$16,500

本課程已列入再工業化及科技培訓計劃已登記公開課程 - 創新及科技基金下的一個資助計劃。 

 公司有意為僱員申請出席已登記公開課程的培訓資助,須於開課至少兩星期前於網上系統提交申請。 

課程導師

 

湛家揚 教授

管理學專業應用副教授

亞太工商研究所業務拓展主任

Biography

 

 

 


 

課程資料

 

日期: 2020年11月18日至19日(星期三和星期四)

截止申請日期: 2020年10月30日

授課語言:英語/中文

時間 : 2天(共12小時)

地點: 香港新界沙田香港中文大學鄭裕彤樓 / Zoom

課程費用:

HK$16,500(包括課程資料,茶點及午餐)

本課程已列入再工業化及科技培訓計劃已登記公開課程 - 創新及科技基金下的一個資助計劃。 

 公司有意為僱員申請出席已登記公開課程的培訓資助,須於開課至少兩星期前於網上系統提交申請。 

  • 早鳥優惠:HK $ 15,500(2020年9月21日前報名)
  • “一起學習”優惠:HK $ 15,500(與朋友一起參加同一課程)

備註:兩個申請人必須同時報名參加同一課程。因此,此優惠不適用於兩個參與者在不同時間或報名不同的課程。

  • 校友優惠:中大/中大專業進修學院/亞太工商研究所校友可享受課程費15%的折扣
  • 公司優惠:請聯繫我們的教育專業人員以獲取詳細信息

 

 

現在申請




Other Programme in Digital Leadership Series for Executives

June, 2020

Competing in the Digital Economy:

Platform Revolution

Learn More

 


Contact Us

Miss Teresa Chung

Phone: (852) 3943 4413
Email: execed@cuhk.edu.hk





课程介绍

(课程详细内容请参考英文版本)

Return to English version for more details

课程内容

 

第一天 第二天
 1.  主要概念

- 商业智能
-人工智能和大数据
-设计思维与人工智能/大数据

 5. 人工智能和数据驱动组织

- 战略与领导
-挑战与关键成功因素
-人才和能力

 

 2. 人工智能与大数据创新

-商业模式
-应用
-数据货币化

6. 人工智能与大数据项目管理

- 项目始创与选择策略
-文化与过程
-立案与投资回报

 

与人工智能和大数据初创始创人以及大型企业用户对话

“从点子到实现在业务上”

3.算法入门

-机器学习
-深度学习

7.可持续增长

-人智能治理与道德
-数据隐私与安全

 

 

 4.人工智能与大数据技术入门

 

 8.人工智能和大数据的未来

 

 

 

 




 

现在申请

时间: 2天(共12小时)

日期: 2020年11月18日至19日(星期三和星期四)

地点: 香港新界沙田香港中文大学郑裕彤楼 / Zoom

课程费用:

HK$16,500

本课程已纳入再工业化及科技培训计划已登记公开课程-创新及科技基金下的一个资助计划。 

 公司有意为员工申请出席已登记公开课程的培训资助,须于开课至少两星期前于网上系统提交申请。 

课程导师

 

湛家扬 教授

管理学专业应用副教授

亚太工商研究所业务拓展主任

导师介绍

 

 

 


 

课程介绍

 

日期: 2020年11月18日至19日(星期三和星期四)

截止申請日期: 2020年10月30日

授课语言:英语/中文

时间: 2天(每天6小时)

地點: 香港中文大学郑裕彤楼(沙田校区)/ Zoom

课程费用:

HK$16,500(包括课程数据,茶点及午餐)

本课程已列入再工业化及科技培训计划已登记公开课程 - 创新及科技基金下的一个资助计划。 

 公司有意为雇员申请出席已登记公开课程的培训资助,须于开课至少两星期前于网上系统提交申请。 

  • 早鸟优惠:HK $ 15,500(2020年9月21日前报名)
  •     “一起学习”优惠:HK $ 15,500(与朋友一起参加同一课程)

备注:两个申请人必须同时报名参加同一课程。因此,此优惠不适用于两个参与者在不同时间或报名不同的课程。

  • 校友优惠:中大/中大专业进修学院/亚太工商研究所校友可享受课程费15%的折扣
  • 公司优惠:请联系我们的教育专业人员以获取详细信息

 

 

现在申请




Other Programme in Digital Leadership Series for Executives

June, 2020

Competing in the Digital Economy:

Platform Revolution

Learn More

 


Contact Us

Miss Teresa Chung

Phone: (852) 3943 4413
Email: execed@cuhk.edu.hk