人工智能和大数据体验工作坊

Ivan strikes a very good balance on hands-on exercises and illustrations of logic behind. The development of big data and variations in the use of data science are well explained in plain language with the use of real-life cases.

Participant in the AI & Big Data Experiential Workshop for Executives

 

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.

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Learning Outcomes

Upon completion of the programme, the participants are expected to be able to:

• Keep abreast of the latest trends and concepts of AI and Big Data.
• Develop own working ideas from discussion on real world cases
• Gain hands-on experience with common big data tools and acquire techniques in solving real life challenges in commercial environment through exercises
• Kick off Big Data application in workplace

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Continuing Professional Development (CPD) under Enhanced Competency Framework on Fintech

Participants of this course can earn Continuing Professional Development (CPD) hours under Hong Kong Monetary Authority Enhanced Competency Framework (EFC) on Fintech. Please click here for details.

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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.

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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 sessions at special rates are available upon request
• Becoming an Associate Member of CUHK Business School Alumni

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Who Should Attend

This programme is designed for business leaders and professionals in traditional industries. Individuals from C-suite, business analysts, data analysts and IT practitioners in all industries are welcome. There are no pre-requisites.

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Programme Curriculum

Day 1	Day 2
1.  Introduction to Data Science and Analytics Business Intelligence versus Data Science/Advanced Analytics Different types of analytics Technologies empowering Data Science - AI, machine learning, deep learning Big Data Analytics – Formulation of a Big Data strategy Next Wave of Big Data – Open Data and Open Source	5. Machine Learning Basics What is Machine Learning? Traditional programming versus machine learning Best application scenarios for machine learning Types of learning Supervised learning Unsupervised learning Reinforcement learning Example using Machine Learning
2.  Data Analysis with Visualization What is Machine Learning? Business Intelligence tools in the market Microsoft Power BI / Qlik Key concepts Bar charts, combo chart, table, filter panes, KPI visuals, and line chart Adding calculated field for data enrichment	6. Specialized analytics with Text What is text analytics What can text analytics do for you? The overall flow for text analytics Working with Text Analytics API
3. Data Analysis with Advanced Visualization Microsoft Power BI / Qlik - Correlation, scatter plot, and map for geospatial data Combining data sets and setting data	7. Specialized analytics with Images and Videos What is computer vision? The biggest drawing database in the world Try it yourself – Teachable Machine What can computer vision do for you? Technology behind computer vision Working with Computer Vision API
4. Data Analysis with Programming Introduction to Python Install Python versus Cloud Python Getting started with Pandas Data manipulation with Pandas Data plotting with Python	8. Group Discussion / Individual Reflection Big Data Application in your department Define the business problem Define the analytic question Solving the analytic question Define the challenges/risks Big Data application – limitations, risks and ethics

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Duration: 2 days (Total 12 hours)

Programme Dates: 10 & 11 May 2022

Venue: CUHK Business School Town Centre (Central) or Live virtual class (Zoom)

Programme Fee:

HK$15,500

RTTP Rate*: After reimbursement, the programme fee per eligible participant is HK$5,167 / HK$4,834 / HK$4,392 for the programme fee HK$15,500 / HK$14,500 / HK$13,175, 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   Ivan NG Honorary Institute Associate, The Asia-Pacific Institute of Business Co-founder, Lively Impact Biography

 

 

Programme Dates: 10 & 11 May 2022

Application Deadline: 19 Apr 2022

Medium of Instruction: Cantonese

Duration: 2 days (6 hours per day)

Venue: CUHK Business School Town Centre (Central) or Live virtual class (Zoom)

Programme Fee:

HK$15,500

RTTP Rate*: After reimbursement, the programme fee per eligible participant is HK$5,167 / HK$4,834 / HK$4,392 for the programme fee HK$15,500 / HK$14,500 / HK$13,175, 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$14,500 (register by 1 Apr 2022)
• "Learn together” offer: HK$14,500 (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 applicant who has 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.

Remarks:

• Please bring your own notebook computer to attend the workshop and install Microsoft Power BI Desktop to your device prior to the workshop

• The workshop is conducted in Cantonese, supplemented with English terminology. The workshop materials is in Chinese/English.

 

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