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The Future of Work - Harnessing the Limitless Potential of AI and IOT

This module is part of the Future of Work Series and provides a grounding in how science and technology have developed to enable the Internet of Things (IOT) and how information from physical devices can now be accumulated into rich insights for business decision making using Artificial Intelligence (AI) and Machine Learning technologies to redefine customer value and opportunities.
Through discussions, case studies and games, we will embark on a journey to explore the past, present and future of AI and IOT, culminating in the co-creation of a roadmap of AI integration for an organisation of your choice.

Programme Objectives

  1. Getting a quick snapshot of the evolution of AI and IOT.
  2. Demystifying AI / IOT and familiarisation with associated terminology.
  3. Learning what are the business and societal implications of this technology.
  4. Preparing yourself for the future in which AI co-exists with humans.
  5. Harnessing the power of AI to do your job better and to propel your organisation forward.


Programme Code: CRS-N-0044319


Programme Length

1 day

Admission Period Before programme commencement date
Application Period

Before programme commencement date

Areas of Study
Internet of Things (IOT)
Artificial Intelligence (AI)
Machine Learning Technologies
Exclusively Designed For

Certified Professional Business Manager (CPBM)

This programme is part of the Professionals Management Toolkit (PMT) Series. Participants who successfully complete 6 programmes offered by SMUA-HCML within 5 years will receive the Certified Professional Business Manager (CPBM). For example:

Please click here for CPBM details and list of programmes.


Schedule INTAKE 2 > 2 Nov 2018 (9.00am – 6.00pm) - Confirmed to Commence
1. An Introduction to Artificial Intelligence and Internet of Things
    • Evolution of Key AI technologies
    • IOT – What’s in a sensor and how did we get here? 
    • The relationship between AI and IOT
    • Implications for businesses and for society
    • Discussion: The angry truck driver 
2. How businesses are using Machine Learning
    • Core concepts of Machine Learning 
    • How computers can learn from experience
    • Why this, why now? 
    • How Machine Learning can be successfully integrated into business functions
3. Processing human language
    • How natural language processing is deployed in business contexts
    • Machine translation and RNNs
    • Case studies: Sentiment analysis
4. Computer Vision
    • CNNs 
    • Applications of Computer Vision
5. Robotics 
    • How robotics can benefit an organisation
    • Why robots are not yet everywhere
    • Discussion: The trolley experiment for Autonomous Vehicles
6. Al in Business and Society
    • The human-machine relationship
    • Game: Can a machine do your job?
    • Ethical and social implications of AI integration
7. The Future of AI and IOT
    • Imagining the future and potential uses in different industries
    • What human skills will remain important
    • Group work: Creating a roadmap for AI implementation for your organisation
Related Topics Innovation and Entrepreneurship, Law, Business, Social Sciences & Humanities, Strategy and Growth, Technology and Change, Management Insights

Fee payable to SMU:
SGD856.00 (incl. 7% GST) per person


Fee payable to SMU after 70% SSG Funding
(for Singapore Citizens / Permanent Residents only):
SGD256.80 (incl. 7% GST) per person


Fee payable to SMU after 70% SSG Funding & 20% SkillsFuture Mid-Career Enhanced Subsidy
(for Singapore Citizens aged 40 years & above only): 
SGD96.80 (incl. 7% GST) per person


Fee payable to SMU after 70% SSG Funding & 25% Workfare Training Support Scheme
(for Singapore Citizens aged 35 years & above (13 years & above for Persons With Disabilities) and earning a monthly income of not more than SGD2,000): 
SGD56.80 (incl. 7% GST) per person


Fee payable to SMU after 70% SSG Funding & 20% Enhanced Training Support for SMEs
(for SMEs* sponsoring their employees who are Singapore Citizens / Permanent Residents only): 
SGD96.80 (incl. 7% GST) per person


* SMEs must meet all of the following criteria:
  1. Organisation must be registered or incorporated in Singapore
  2. At least 30% local shareholding by Singapore Citizens or Singapore Permanent Residents
  3. Employment size of not more than 200 (at group level) or with annual sales turnover (at group level) of not more than SGD100 million
  4. Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  5. Trainees must be Singapore Citizens or Singapore Permanent Residents



SkillsFuture Credit:
Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to SGD500) to defray part of the course fee.  With effect from 19 May 2017, SkillsFuture Credit claim will only be paid directly to the training provider from SkillsFuture Singapore.  
Claim should be submitted via the Training Exchange (click hereand SMU Academy has to be informed on the Claim ID no. and claim amount in order for the correct payable course fee amount to be reflected on the invoice.  Please click here for the User Guide on how to claim for SkillsFuture Credit.  


Absentee Payroll:
Companies who sponsor their employees for the programme are eligible to apply for absentee payroll via the SkillsConnect system.  For more information, please visit 


Union Training Assistance Programme (UTAP)

All NTUC union members and self-funding are eligible for UTAP funding (up to SGD250 per annum).  Please click here for more information on UTAP and application.

Who Should Attend

This programme is suitable for business professionals who are interested to learn more about AI and Machine Learning and how they could potentially use AI to help them do their jobs better or gain additional insights to business issues and opportunities.


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>> Business Implications of Blockchain Technology Find out more
>> Achieving Mastery and Success Through Growth Mindset Find out more

Last updated on 11 May 2018.



SMU Academy | Human Capital, Management & Leadership

Singapore Management University
School of Accountancy Building
60 Stamford Road, Level 6
Singapore 178900


Contact Persons:

Mr Tan Kim Guan /
Ms Caren Chiang /
Mr Damone Teo         

+65 6828 1966 / 
+65 6808 5361 / 
+65 6828 0071