人工智能與大數據
Programme Overview
Through Dr. Charm’s explanation, I have a deeper and more precise understanding of AI, which prompted me to plan and implement AI solutions outside the original framework. In the class, Dr. Charm used many daily life examples to introduce the application and value of AI and verify its reliability through many successful cases. He also provided many demonstrations and tools so that we can quickly grasp and implement this new technology. Therefore, I am very confident and know how to implement AI technology in our solutions.
Participant in The Power Duo of AI & Big Data Programme
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 current decade?
According to Mckinsey, AI will potentially contribute US$13 trillion 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 US$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 US$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 “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 current decade 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 this will inevitably divide the leaders and laggards even further. Every business leader today, irrespective of whether 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, the majority of these companies are still struggling and are not generating the promised value of AI and Big Data. Customer centricity is the key to 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. Our programme will empower participants to successfully kick-start and scale AI and Big Data across the organisation.
Participants will learn how to formulate a winning AI and Big Data strategy for their companies. The learning outcomes of the programme are as follows:
- Formulate a right AI and Big Data strategy and roadmap to drive your company to become an AI and Data Driven enterprise
- Leverage on AI and Big Data to improve customer experience, grow your businesses and optimise your processes by studying successful and failure cases
- Comprehend the core concepts of Machine Learning, Deep Learning and the key technologies of AI and Big Data
- Utilise Design Thinking to unleash the power of AI/Big Data to enhance customer centricity
- Empower decision makers and users to take actions based on AI/Big Data analysis and recommendations
- Communicate effectively with data scientists and start-ups for sustainable AI/Big Data innovation and business growth
- Propose and approve business proposals for AI and Big Data projects with industry ROIs and KPIs
- And more
Key Benefits
- Complimentary 2-week access to one of the selected Self-Paced Programmes for Executives
- Certificate of Attendance will be awarded to participants upon completion of the programme
- Special offer on Self-Paced Programmes for Executives subscription
- Consultation session at special rate is available upon request
- Becoming an Associate Member of CUHK Business School Alumni
Who Should Attend
This programme is designed for business leaders and professionals in traditional industries. Individuals from C-suite to operations managers, technology officers and R&D in all industries are welcome. There are no pre-requisites.
Programme Curriculum
Day 1 | Day 2 |
1. Core Concepts
- Business Intelligence
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5. AI and Data Driven Organisation
- Strategy & Leadership
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2. AI & Big Data Innovations
- Business Models
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6. AI & Big Data Project Management
- Initialisation & Prioritisation
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Fireside Chat with AI & Big Data Start-ups and Corporate User “From Ideas to Business Impact” How Do Innovative Big Data Start-ups Create Values to Traditional Enterprises? How Do CXOs Lead their Enterprises to Become AI and Big Data-Driven? |
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3. Algorithm Primer
- Machine Learning
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7. Sustainable Growth
- AI Governance & Ethics;
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4. AI & Big Data Technologies Primer
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8. Future of AI and Big Data
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Duration : 2 days (Total 12 hours)
Programme Dates: 18 & 19 May 2022
Venue: CUHK Business School Town Centre (Central) 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.
Faculty
Associate Professor of Practice in Management, CUHK Business School Director of Business Development, The Asia-Pacific Institute of Business
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Programme Details
Programme Dates: 18 & 19 May 2022
Application Deadline: 3 May 2022
Medium of Instruction: English / Chinese
Duration: 2 days (6 hours per day)
Venue: CUHK Business School Town Centre (Central) 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. 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 19 April by 2022)
- “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 to 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
- Continuous Learning Offer: Additional 5%, 10% and 15% discounts will be offered to applicants who have previously completed 1, 2 and 3 programme(s) of the Digital Leadership Series for Executives within 24-month period, respectively. This offer can be used in conjunction with other promotional privileges.
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Contact Us
Miss Teresa Chung
Phone: (852) 3943 4413
Email: execed@cuhk.edu.hk
(課程詳細內容請參考英文版本) Return to English version for more details - 商業智能 - 戰略與領導 - 商業模式 - 項目始創與選擇策略 “從點子到實現在業務上” 3. 算法入門 - 機器學習 - 人智能治理與道德 課程介紹
課程內容
第一天
第二天
1. 主要概念
- 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
- 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
- 應用
- 數據貨幣化6. 人工智能與大數據項目管理
- 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
- 深度學習7. 可持續增長
- 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
課程資料
日期: 2021年7月21日至22日
授課語言:英語/中文
時間 : 2天(共12小時)
地點: 中大商學院市區教學中心 / 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。
- 早鳥優惠:HK $ 15,500
- “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
Contact Us
Miss Teresa Chung
Phone: (852) 3943 4413
Email: execed@cuhk.edu.hk
(课程详细内容请参考英文版本) Return to English version for more details - 商业智能 - 战略与领导 -商业模式 - 项目始创与选择策略 “从点子到实现在业务上” 3.算法入门 -机器学习 -人智能治理与道德 课程介绍
课程内容
第一天
第二天
1. 主要概念
-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
-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
-应用
-数据货币化6. 人工智能与大数据项目管理
-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
-深度学习7.可持续增长
-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
课程介绍
日期: 2021年7月21日至22日
授课语言:英语/中文
时间: 2天(每天6小时)
地點: 中大商学院市区教学中心 / Zoom
课程费用:
HK$16,500
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
- “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
Contact Us
Miss Teresa Chung
Phone: (852) 3943 4413
Email: execed@cuhk.edu.hk