1. Teck Chia Partner, Exponent.vc
The Future of AI is Here
Teck Chia Partner, Exponent.vc

2. Why talk about AI Foundational shift in computing
Transcends markets, culture, geography
Early but impactful
Shift from encoding human knowledge and instructions to learning how to solve problems by inferring and inducing from information.
AI is applicable everywhere regardless of who and where it is invented
Very early in AI development but very effective in solving certain problems, like medical diagnosis, web security like malware/spam detection, recommendation systems etc.

3. Structure Quick overview of AI technology Survey of AI activities
Opportunities in AI
Q&A

4. What is AI?
Humans
Natural Intelligence is using the brain to solve problems by learning and reasoning from information.

5. What is AI?
Machines
Artificial Intelligence is using algorithms to solve problems by learning and reasoning from information.

6. Types of AI Narrow Artificial Intelligence (Weak AI)
Artificial General Intelligence (Strong AI)

7. Narrow Artificial Intelligence (Weak AI)
Single Domain
Not easily transferrable
Examples: Self-driving cars, Apple Siri, Spam filters

8. Artificial General Intelligence (Strong AI)
Can learn anything
Learn how to learn
Examples: Only in science fiction & movies (for now)

9. Most of today’s AI is using ML techniques
Machine Learning
Class of algorithms that can learn from data or information to solve problems
Most of today’s AI is using ML techniques

10. Machine Learning Paradigms
Supervised Learning
Unsupervised Learning
Reinforcement Learning

11. Supervised Learning
Supervised Learning
Algorithm
Apple

12. Supervised Learning Trained Supervised Learning Model ??? Apple
Not Apple

13. Predictive Analytics for businesses
Supervised Learning
Image recognition
Speech recognition
Predictive Analytics for businesses

14. Unsupervised Learning
Algorithm

15. Unsupervised Learning
News or content clustering
Recommendation systems
Anomaly detection

16. Reinforcement Learning

17. Reinforcement Learning
Robotics/Self-driving
Game playing (AlphaGo)
Quant trading

18. What about Deep Learning?
AKA Neural Networks
Used in all ML paradigms ≈

19. Why AI is exciting today

20. Increase in power, lower in cost: GPUs, ASICs
Compute Power
Increase in power, lower in cost: GPUs, ASICs

21. Abundance of Data Sensors are everywhere
Consumer behaviors shifting online
Big data infra available and cheap
IoTs & Wearables
Lots of consumer behavior shifting online, like ecommerce, entertainment, news, communications, social
Big data infra, storage costs going down

22. Access to ML Tools

23. What’s Happening in AI Today

24. Big Company AI
Vision, Speech, Natural Language, Video, Social Robotics, Infrastructure, Tools, Hardware, Data
Mainly horizontal technologies
- Conversational UI, Personal Assistants, Recommendation systems since big cos know a lot about their users.

25. Startups Mostly focused on narrow AI in vertical markets
(Small number of them attacking big AI problems)
Have to attack vertical markets due to lack of data to train AI
Need to partner and sell to bigger enterprise customers or orgs with data

26. Self-driving

27. Healthcare Drug discovery Medical imaging and diagnostics
Analytics & risk management
Medical research
Health monitoring/Wearables
medical diagnostics more accurate than human doctors

28. Site reliability and monitoring
Software & DevOps
Site reliability and monitoring
Software engineering
Testing Automation
Kite
Functionize

29. Fintech Quant trading bots Personal finance management
Credit & risk assessment
numer.ai
wealthfront
insurance and loan risk assessment

30. Enterprise Ops Sales Optimization Marketing automation & ads targeting
Supply chain and logistics
Rank sales prospects
Write sales s
Helps buy ads and marketing campaigns
Predicting demand for supply chain optimization

31. Security Fraud prevention Malware & spam detection
Malicious attack detection

32. Security patrol robots
Robotics
Food-making robots
Security patrol robots
Autonomous drones
Industrial robots
(Self-driving cars)
Amazon warehouse
Nuclear power plant inspections
Climate monitoring, autonomous boats

33. Creativity & Fun Face recognition & filters AI-generated music & art
AI computer player
Prisma
Snapchat filters
prowler.io & alphago

34. Artificial General Intelligence
Turing test
Learn anything (including how to learn)

35. Moravec’s Paradox
Prisma
Snapchat filters
prowler.io & alphago

36. Opportunities Verticals where you can acquire lots of training data
Tools & utilities to make ML easier to use
Hardware & infrastructure for ML
Prisma
Snapchat filters
prowler.io & alphago

37. Q&A