The document discusses the state of artificial intelligence (AI) and its implications for various industries, emphasizing the integration of AI technologies like machine learning and natural language processing. It highlights the rapid growth of the AI sector, with significant venture capital investments, and explores potential impacts on employment in the Philippines, particularly in the business process outsourcing (BPO) industry. The document also presents a vision for a future where humans and machines collaborate, termed 'hybrid intelligence'.

1. Thinking
Machines
Data Science
The State of
Artificial
Intelligence
Thinking
Machines
Data Science
Feb 19, 2016
Humans+Machines

2. Thinking
Machines
Data Science
Thinking
Machines
Data Science
Stephanie Sy
Founder, Thinking Machines Data Science
twitter @stefsy
stef@thinkingmachin.es
#humansplusmachines

3. Thinking
Machines
Data Science
Outline
01
02
05
The Rise of Artificial Intelligence
The AI Industry Landscape
How will this impact us in the
Philippines?
03
Tools04
Applications

4. Thinking
Machines
Data Science
Thinking
Machines
Data Science
Scene from Ex Machina
The Rise of
Artificial
Intelligence
01

5. Thinking
Machines
Data Science
Can these machines
think and feel?
Does it even matter?

6. Thinking
Machines
Data Science
Artificial Intelligence is
The interaction of the following fields
1. Internet of Things
2. Smart Grids/Cities (The Internet of Really Big Things)
3. Data Science
4. Machine Learning
5. Natural Language Processing & Generation
6. Big Data Processing
In the near term, we’re getting artificially intelligent
systems

7. Thinking
Machines
Data Science
Artificial
Intelligence
looks more
like this
IBM Watson winning Jeopardy against two all-time human
champions in 2011.

8. Thinking
Machines
Data Science
The Fourth Industrial
Revolution is Here
World Economic Forum
2016: How artificial intelligence and robotics are changing humanity

9. Thinking
Machines
Data Science

10. Thinking
Machines
Data Science
4.9 billion items connected to
the internet of things last
year will reach 25 billion by
2020
World Economic Forum
2016: How artificial intelligence and robotics are changing humanity

11. Thinking
Machines
Data Science
Advanced manufacturing
technologies are expected to
double in value to $85 billion+
globally by 2019
World Economic Forum
2016: How artificial intelligence and robotics are changing humanity

12. Thinking
Machines
Data Science
Venture capital investment in
robotics and artificial
intelligence has grown more
than 70% per year since 2011
World Economic Forum
2016: How artificial intelligence and robotics are changing humanity

13. Thinking
Machines
Data Science
The Artificial
Intelligence
Industry
Landscape
02

14. Thinking
Machines
Data Science
Lots
and
LOTS
more
of
them

15. Thinking
Machines
Data Science
Artificial Intelligence
Company =
(Big?) Data + Tools +
Applications

16. Thinking
Machines
Data Science
Key Terms (Poorly Defined)
1. Artificial Intelligence
2. Data Science
3. Machine Intelligence
4. Agents
5. Big Data
6. Autonomous Systems
7. Deep Learning

17. Thinking
Machines
Data Science
Two useful ways of evaluating
companies in this space:
the application framework or
the tool framework.

18. Thinking
Machines
Data Science
The Application Framework
03

19. Thinking
Machines
Data Science
Social Apps
Marketing
Finance
Robots/Drones
Customer Service
Transport
Agriculture
Healthcare
Artificial
Intelligence
+

20. Thinking
Machines
Data Science
IBM Watson
Being trained to use data to
diagnose lung cancer at the
Memorial Sloan-Kettering
Cancer Center.
“We are Watson’s teacher.”
Dr Craig Thompson
MSK President & CEO

21. Thinking
Machines
Data Science
Facebook M

22. Thinking
Machines
Data Science
Google Self Driving Car
Thinking
Machines
Data Science

23. Thinking
Machines
Data Science
Everyone Else’s Self
Parking Cars
Thinking
Machines
Data Science

24. Thinking
Machines
Data Science
Skycatch
Drones
Drones + Computer Vision
for construction and disaster relief.
Komatsu, the world’s 2nd largest
construction company, uses robotic
vehicles to scoop rocks and flying
drones to guide the vehicles!

25. Thinking
Machines
Data Science
The Tool Framework
04

26. Thinking
Machines
Data Science
The HOW
e.g.
1. Machine Learning
2. Natural Language Process
3. Natural Language Generation
4. Deep Learning / Neural Networks
5. Computer Vision
Advances in this category first show up in academic research, then
businesses find ways to apply these tools to problems.

27. Thinking
Machines
Data Science
Fraud
Detection
The original AI fraud detection company
"We try to figure out what they're going to do so we can stop them
before or in the act.” ~ Max Levchin, Paypal founder
http://www.bloomberg.com/bw/stories/2002-09-30/max-levchin-online-fraud-buster

28. Thinking
Machines
Data Science
Fraud
Detection
These companies use machine learning to flag financial fraud:
Prediction
Clustering
Classification

29. Thinking
Machines
Data Science
Computer
Vision
Translating pictures with
Convolutional neural networks
Deep Learning
Finding Mayan ruins with
high-res satellite image transforms

30. Thinking
Machines
Data Science
Recommendation
Engines
These companies use recommendation methods like:
Collaborative Filtering
Matrix Factorization

31. Thinking
Machines
Data Science
Special Mention:
Data Science
Support Companies
These companies build tools for data scientists.
Big Data Processing
Hadoop Services
Semi-automated Model Building
Semi-automated Model Deployment

32. Thinking
Machines
Data Science
Thinking
Machines
Data Science
Scene from Her
How might Artificial Intelligence
impact the Philippines?
05

33. Thinking
Machines
Data Science
Hybrid AI, or
The Augmented Human
Blurring the lines, are you talking to a
human or a machine?

34. Thinking
Machines
Data Science
Near-Future Jobs
Augmented Reality Designer
Drone Operations Handler
Human Organ Designer
Artificial Personality Designer
AI Customer Service Supervisor
The Most Important Design Jobs of the Future. Fastcodesign.

35. Thinking
Machines
Data Science
The Philippine BPO Industry
http://www.ncc.gov.ph/files/lacdao_phil_it_bpo_roadmap.pdf
http://www.rappler.com/brandrap/stories/98207-bpo-philippines-timeline
We have over 1 Million full time
BPO jobs, >5.4% of total GDP.
In 2012, India had >2.8 million
BPO jobs.

36. Thinking
Machines
Data Science
Manufacturing: Taiwan
Global Trading: Singapore
Manufacturing: South Korea
We’re primed to leverage remote work to
rise up as a global economic player.

37. Thinking
Machines
Data Science
WARNING: We can’t expect the next 5
years to look like the last 5 years.
Problem:
The Philippines was #1 in Voice jobs as of 2012 (which will
be a problem as computer start talking more).
Opportunity:
We are global domain experts in BPOs.

38. Thinking
Machines
Data Science
We can be the global capital of
Hybrid Intelligence!
Hybrid Intelligence = Humans
+Machines (AI)

39. Thinking
Machines
Data Science
Thinking Machines Data Science
http://stories.thinkingmachin.es
We help companies use data to supercharge their work.