This document discusses artificial intelligence and machine learning. It explains how AI can efficiently process large amounts of data and complete repetitive tasks. Examples are given of current AI applications like automated advisors, image recognition, and self-driving cars. The basic premise of AI is that human brains plus big data does not work well, while AI can learn from past trends and large datasets to make predictions and handle routine work. Blockchain technology is also discussed, and how it is well-suited for record keeping, security, and enforcing digital contracts via smart contracts. The document advocates combining blockchain and AI for their complementary strengths.

2. Human Intelligence

3. Machine Intelligence
Processing Capacity
Efficient Algorithms (Tools)
Power without utility = useless!
Algorithms without power = useless!
AI revolution = Convergence of Power +
Algorithms
Image Credit: Flickr.com

4. ARTIFICIAL
INTELLIGENCE

5. AS SIMPLE AS
Crunching numbers in excel sheets and
databases in seconds instead of an entire day,
so that you can spend the day doing…

6. Image Credit: Wikimedia.org

7. OR AS COMPLEX
AS
Taking a rocket into SPACE,
so that you can spend the day doing…

8. Image Credit: Wikipedia.org

9. AI Today & Tomorrow
Automated advisors for insurance and loans (e.g.
Wealthfront)
Image recognition (Contract Intelligence (COiN) platform) –
analyses legals documents (3,60,000 man-hours vs seconds)
Dingsunbao (Loss assessment
master)
Self driving cars
Speech recognition
Image Credit: alizila.com
Cognitive assistants

10. AI: Basic Premise
Human brains + BIG data = BIG fail
We work on processed results, intuitions and emotions to make
decisions
AI = learn from past trends to predict future events
AI = learn from large datasets to complete repititive tasks
AI = dynamic decision making to handle unexpected
situations
Today: Maximum impact on people performing
repititive tasks

11. BLOCKCHAIN

12. Blockchain
Good for immutable record keeping
Good for security & identity (zero knowledge proofs, quantun
resistant encryption)
Good for enforcing contracts on digital assets
Bad for complex tasks!
Bad for high transaction speeds (as of now)

13. F U L LY D E C E N T R A L I Z E D
( D A O , P 2 P, D E X )
PA R T I A L LY D E C E N T R A L I S E D
( U b e r, A i r b n b )
PA R T I A L LY D E C E N T R A L I Z E D ,
D I S T R I B U T E D
( E n t e r p r i s e B l o c k c h a i n s )
F U L LY C E N T R A L I S E D
( I n s u r a n c e , B a n k i n g )

14. SMART
CONTRACTS
At the heart of most Blockchain applications
Decentralization is powered by smart contracts

15. Let’s PLAY!

16. contract Bonus {
}

17. contract Bonus {
address me;
address boss;
address kpiBot;
uint depositFromBoss;
}

18. contract Bonus {
function depositMoney(amount) bossOnly {
depositFromBoss = amount;
}
}

19. contract Bonus {
function updatePerformance(kpi) kpiBotOnly {
if(kpi > 99%) transferBalance(me);
if(kpi > 90%) transferBalance(me = 50%, boss = 50%);
if(kpi > 80%) transferBalance(me = 30%, boss = 70%);
transferBalance(boss = 100%);
}
}

20. Blockchain + AI
BLOCKCHAIN FOR DATA,
SECURITY & COMMERCE
AI FOR “SMARTNESS”