Presented by Mr Patrice Choong, Director, The Sandbox, Innovation & Entrepreneurship Office, Ngee Ann Polytechnic, at SkillsFuture Festival at NUS 2019

2. a sneak peak…

4. the rise of data

5. productivity
business value
THE CONTEXT
save $
Increase value

6. CONSULTANTS
TOOLS
SKILLS
On-the ground STAFF
DOMAIN
PROCESS

9. LANGUAGE
EXPECTATIONS
WORLDVIEW

10. COLLECT MOVE /
STORE
CLEAN UNDERSTAND
THE PROCESS
FEATURE ENG MODEL
70%

11. THE PROCESS
By equipping staff with the COGNITIVE CAPACITIES to
think like a data scientist and the SKILLS to use basic
data TOOLS,
they will be able to
(1) Identify what tasks can be automated / augmented
with AI / data tech and
(2) Implement it themselves or work with an AI Engineer
to do so.

12. On
DATA
MINDSET

13. How would you solve this?

15. What product would you
place besides the potato
chips?
3 mins

16. Design Thinking Engineer Data Scientist
THREE HATS

17. Design Thinking
See the problem from a
HUMAN CENTRED
perspective.

18. See the problem from a
SYSTEM / OPTIMISATION
perspective.
Engineer

19. See the problem from a
DATA
perspective.
Data Scientist

21. On
DATA

22. DATA is the fuel that powers Artificial Intelligence
Understanding DATA in its context is the 1st step of
designing an AI solution.
70% of a Data Scientist time is spent on understanding
the DATA.

23. ONLINE TEST

24. ONLINE PRACTICE TEST
What type of Data can we capture?
How would you determine which data

25. ONLINE PRACTICE TEST
What type of Data can we capture?
• Biographical Data
• Answers
• Correct / Incorrect
• Workings
• Which questions he attempts first?
• Which questions he revisited?
• Which questions he spends the most time
on?
• Where he clicks on the paper?
• How many times he changed an answer?
• What were his previous answers?
• What device he used to access the paper?
• What time he started on the paper?
• … and many more

26. EXPLICIT DATA
EXPLICIT DATA
EXHAUST DATA
TYPES OF DATA

27. IMPLICIT DATA
EXHAUST DATA
Unstructured
Incomplete
Complex
Mixed Media
EXHAUST DATA
AI

28. ARTIFICIAL INTELLIGENCE
ARTIFICIAL
INTELLIGENCE
MACHINE LEARNING
DEEP LEARNING
Make machine intelligent
Give human-like intelligence to machine
The techniques that allow a machine to learn
without being explicitly programmed
A specific technique of learning based on Deep
Neural Network

29. MACHINE LEARNING
SUPERVISED
LEARNING
Un-SUPERVISED
LEARNING
REINFORCEMENT
LEARNING
MACHINE LEARNING

30. AI can predict values / categories
AI can discover relationships
AI can play games
AI can recognise objects

31. Give me an example of what AI cannot do?

32. Can AI create?

33. Which picture is generated by AI?
A B

35. AI can reconstruct scenes

37. But you still need to hire voice actors….
or do you…?
• In 2016, Adobe gave a demo of VoCo, the photoshop for voice using AI.
• After 20 mins of listening, the software can make you say anything.

39. Can AI generate an original Story?

42. One last advice… don’t let your child study
music composition…

45. www.mlforhumans.sg