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

IntroductionProgramme OutlineTestimonials



#Journey to Explore New Age Technologies@Work


Programme Code: CRS-N-0044319


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.


Reflection / Discussion

  • “What is real intelligence?”
  • “What is in it for me?”
  • “How do I prepare myself for the future?”


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.

Programme Requirements

Participants have to meet a minimum attendance rate of 75% and are required to undergo an assessment at the end of the programme. Only upon meeting the minimum attendance rate and passing of the assessment, will participants be issued a Certificate of Completion.
Participants are required to bring their laptop for the individual assessment.
Participants who failed the assessment will be given a chance for re-assessment at a re-assessment fee of SGD214.00 (incl. 7% GST). Each participant is allowed up to 2 re-assessments. The first re-assessment has to be taken within 1 month following the last attempt and will be held on a weekday specified by SMU Academy.

Participants who meet the minimum attendance rate but do not achieve a pass for the assessment will be issued a Certificate of Participation.


The Future of Work - Cyber Security Awareness 

The Future of Work Series includes another module "Cyber Security Awareness".  It is designed to equip participants with the necessary knowledge and skills to protect their information assets as well as take pre-emptive actions to protect themselves against potential cyber threats by mitigating their security exposure.  Please click here to read more about this module.


Certified Professional Business Manager (CPBM)

The Future of Work - Harnessing the Limitness Potential of AI and IOT 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.   


Programme Schedule

Intake 1: 31 May 2018 (9.00am – 6.00pm)*  3 Seats Left

* Participants are required to take an assessment from 5.00pm – 6.00pm. They are required to bring their laptop.



Full Fee:
SGD856.00 (incl. 7% GST) per person


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


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


For Singapore Citizens aged 35 years & above (13 years & above for Persons with Disabilities),
earning a monthly income of not more than SGD2,000 and self-funded

Fee payable to SMU after 70% SSG Funding & 25% Workfare Training Support Scheme:
SGD56.80 (incl. 7% GST) per person


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


Fees include tuition, course materials, instructor's fee, 2 tea break refreshments per day (excl. lunch) during the programme and 1 assessment per person for each programme.

Re-assessment fee at SGD214.00 (incl. 7% GST) per attempt, up to a maximum of 2 re-assessments per person.  Please note that re-assessment fee is not supported by the SSG Funding.

The first re-assessment has to be taken within 2 weeks after the notification of result. The first re-assessment will be held on a weekday specified by SMU Academy and conducted from 6.30pm to 8.30pm.



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. Please click here for the User Guide on how to claim for SkillsFuture Credit.  Claim should be submitted via the Training Exchange (click here).  

IMPORTANT  Please search for Future of Work Series: Cyber Security Awareness, AI and IOT (module 1), course code CRS-N-0044319 for your SkillsFuture Credit claim submission.


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 SkillsConnect.


*Enhanced Training Support for SMEs:
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


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.



Singapore Management University



Refreshments will be provided for the 2 tea breaks each day during the programme. Lunch is not provided. Refreshments provided are “no pork no lard”. If you have special dietary requirements, please inform us accordingly.

Programme Policies

Please click here for the programme policies on registration / substitution / deferment / withdrawal / refund.



Director, Strategy and Operations, Hewlett Packard Enterprise

Anuprita has 22 years of experience in the technology industry, having worked in Strategy, Sales and Marketing, and Operations for Intel, Apple, Dell and Yahoo in the past, and is now with Hewlett Packard Enterprise leading Strategy & Operations for the Channel business worldwide. She is passionate about building high performance teams in the areas of marketing, strategy, data-led decision-making, analytics and Machine Learning. She believes that technology is the great leveller that improves the lives of people, whether they are rich or poor, living in developed or emerging markets. She has led several strategic transformations in the areas of Social media listening, Analytics, Big Data, IOT and Machine Learning. 

Her research interests are in the area of Neuroscience contributions to Artificial Intelligence and Leadership Likability. Anuprita has an Engineering degree from the Mumbai University, an MBA from NUS Business school, an Executive Masters degree in Organisational Behaviour from Insead and a Data Science certification from MIT. She also teaches Strategy & Big Data and Emerging Market Strategy at NUS Business School.







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Programme OutlineWhat is my mindset?
  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

As this is a new programme, there is no testimonial yet.



Last updated on 15 Feb 2018 .