Introductory talk on AI, given at Emerald Hub, co-working space, located at the Phnom Penh International University (PPIU) on 3 May 2017 to a tech audience.
Note:
Title based on talk from Andrew Ng with the same name.
Source material where relevant referenced in speaker notes.
Originally prepared by Andries, CEO of Slash, for an internal Slash team talk.
3. Product Foundry.
For innovation teams and ambitious
startups/SMEs. Focus: deep tech.
Venture Builder.
Serial entrepreneurs. Slash Ventures is
where we build our own lean projects.
Offices in Singapore and Phnom Penh
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3
12. • Klaus Schwab, is the founder
and CEO of the World
Economic Forum at Davos
• Survey of 800 executives and
experts surveyed at WEF
• Capture deep shifts occurring
in society as a result of new
software and services.
Encourage everyone to think
about the impact of these
changes on our society.
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19. WAVE 1: EXPERT SYSTEMS
+ Expert systems are rule-based
- Very narrow, no learning capability, poor in real-world
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20. Limits of expert systems: DARPA car challenge
2004: 0 finish 2005: 5 finish
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21. WAVE 2: MACHINE LEARNING
95% of ‘hyped’ AI applications as of 2017
A (Input)
Examples:
Email
Image
Audio
English
Text
B (Response)
Spam (0/1)
Object (cats, dogs etc)
Text (speech recognition)
Khmer
Audio (A, B etc)
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24. WAVE 2: MACHINE LEARNING
+ Probabilistic, statistical learning techniques
+ Good at supervised learning, classifying and predicting
- Needs lots of data to learn
- Limited ability to understand context and reason
- Statistically impressive, individually unreliable
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25. WAVE 3: (FUTURE) CONTEXTUAL ADAPTATION
+ AI construct explanatory models
+ Seed AI require much less training data
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26. Example: cat image recognition
This is a cat because …
It has fur, whiskers and claws
It has features:
Explanation
Model
Learning
Process
Decision
Explanation
Training
Data
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42. “AI would be the ultimate version of
Google” – Larry Page [2000]
“We will move from a ‘Mobile First’ to
an ‘AI First’ world” – Larry Page [2016]
… and are betting the farm on AI
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45. HORIZONTAL
Tech giants have a formidable advantage when it comes to
building broad horizontal products (image/video/voice
recognition, language translation) and infrastructure (AI Cloud)
VERTICAL
However, they’re not going to tackle every single vertical problem
VS
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46. Tech Giants more focused on
Consumers
For Startups, plenty of niche
B2B opportunities with data
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