#Journey to Explore New Age Technologies @ Work

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 Code


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.


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.


  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

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 (5.00pm - 6.00pm on the class day).


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.

Type of Course



Management and Leadership

Future of Work Series

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.

Fees and Funding

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 (details):
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 (details):
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 (details): 
SGD96.80 (incl. 7% GST) per person



SkillsFuture Credit
Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) 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 and 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.


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 S$100 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 are eligible for UTAP funding (up to S$250 per annum). Please click here for more information on UTAP and application.


Participants should ideally be business professionals.

Programme Policies

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

Course Date

31 May 2018 [Full]


2 Nov 2018 [Open for registration now]


Class Timing:         9.00am - 5.00pm
Assessment Timing: 5.00pm - 6.00pm


Anuprita Bhomick








Anuprita Bhomick
Director, Strategy and Operations, Hewlett Packard Enterprise


Anuprita Bhomick has 24 years of international experience working in Sales, Marketing, Operations, Strategy, Product Development, Analytics and Big Data in the some of the biggest tech companies like Intel, Apple, Yahoo, Dell and HPE. She heads Strategy for Hewlett Packard Enterprise globally for the Channel and Alliances organisation. In her experience, she has managed global teams as well as global transformational projects, and she is intrigued by how people react to change, regardless of how beneficial the change is. 


She has an Engineering degree from Mumbai University, an MBA from NUS Business School, an executive masters in Consulting from Insead and has studied Data Science and Artificial Intelligence from MIT. 


Anuprita is a speaker at many global conferences including TEDx. She is also an Adjunct Professor of Strategy at the NUS Business School where she teaches Big Data Strategy. Her research interests include cognitive neuroscience, the human computer interaction and the future of work.