1. ARTIFICIAL INTELLIGENCE AND THE FUTURE OF PRODUCTIVITY
Quentin Gay, MBA
Source:

3. ARTIFICIAL INTELLIGENCE
人工智能

4. MACHINE LEARNING
机器学习

5. DEEP LEARNING
深度学习

6. TRUE ARTIFICIAL INTELLIGENCE & NEEDS MORE COMPUTING POWER
IS STILL THEORATICAL
& NEEDS MORE COMPUTING POWER

7. LANGUAGE
RECOGNITION
RECOMMENDATION
ENGINES
FACIAL RECOGNITION

8. WHY AI NOW?
FASTER HARDWARE
OPEN FRAMEWORKS
DATA

9. “man in black shirt is playing guitar”
“girl in pink dress is jumping in air.”
“black and white dog jumps over bar”
Deep Visual-Semantic Alignments for Generating Image Descriptions
For the first time ever, computers can recognize objects better than us.
黑衣俊男弹吉他
粉裙少女蹦蹦跳
黑白小狗在跨栏

11. AI WILL IMPACT PRODUCTIVITY

12. KEY BENEFITS:
Optimizing seed planting, fertilization, irrigation, spraying, and harvesting
Sorting fruits and vegetables
Identifying sick livestock
AGRICULTURE
IMPACT: $20Bn market
APPLICATIONS:

13. KEY BENEFITS:
image-based product searches
Enhancing recommendation
Better customer support
Pricing optimization
IMPACT: $54Bn cost savings $41Bn new revenues
RETAIL
APPLICATIONS

14. Decreasing procedural costs
KEY BENEFITS:
Reduce failed drugs
Improving care
Decreasing procedural costs
IMPACT: $54Bn in cost savings
APPLICATIONS
HEALTHCARE

15. The Institute for data valorization Montreal Institute for
MONTREAL: A NEW AI HUB
The Institute for data valorization
Montreal Institute for
Learning Algorithms

16. Source: clearviewip.com
AI PATENTS FILLED
Source: clearviewip.com

17. IMPACT OF AI ON INTELLECTUAL PROPERTY
WHO OWNS THE ORIGINAL CONTENT CREATED BY AI?
CAN AI LEARN FROM ANY PUBLICLY AVAILABLE INFORMATION?
WHO SHOULD OWN ARTIFICIAL INTELLIGENCE?

18. THANK YOU 谢谢