Integrating AI with blockchain

1. AI With Blockchain
By
Eng .Felicity Mecha
Community lead-AI Saturdays

2. AI
● building machines capable of performing
tasks that seem to require intelligence
●

3. Neurons
● Brain nerves

4. Visual representation
● Graph

5. AI
● Intelligence aspects

6. Machine Learning
● Machine learning is an application of
artificial intelligence (AI) that provides
systems the ability to automatically
learn and improve from experience
without being explicitly programmed

7. Characteristics
● Centralized databases
● High Abstraction levels(Neural Nets)
● Complex(learning)
● Fast decision making
● Automatic
● Data intensive

8. ●BLOCK CHAIN:
● Filing system for digital information, which
stores data in an encrypted, distributed
ledger format. Because data is encrypted
and distributed across many different
computers, it enables the creation of
tamper-proof, highly robust databases
which can be read and updated only by
those with permission.

9. Blockchain
● data are stored in rigid structures called
blocks, which are connected to each other
in a chain through a hash

10. ...
● network can validate the transaction
through different mechanisms, but mainly
through either a “proof-of-work” or a “proof-
of-stake”. A proof-of-work

11. Permission less vs
Permissioned
● In the former case, anyone can access and
read or write data from the ledger, while in
the latter one predetermined participants
have the power to join the network

12. Scalability
● as the number of participants and blocks
grow, it is extremely hard to modify any
information without having the network
consensus.

13. Contracts
● (smart) contracts that are triggered by
specific events and threshold and that are
traceable and auditable without effort.

14. Initial Coin Offerings
(ICOs)
● ICO is nothing more than a token sale,
where a token is the smallest functional unit
of a specific network

15. AI in Blockchain
● ai

16. Energy consumption
● Mining
● Scalability: “blockchain pruning”- deleting
unnecessary data about fully spent
transactions in order to not hold the entire
blockchain on a single laptop

17. Security
● AI in block chain to guarantee a secure
applications deployment
●

18. Privacy
● Homomorphic encryption (performing
operations directly on encrypted data)
●

19. Efficiency
● running costs associated with validating and
sharing transactions on the blockchain
reduced by adding intelligence
● educe the network latency allowing then
faster transactions;

20. Lack of talent
● Smart virtual agents that can create new
ledgers

21. Data gates
● Data will be available on a block chain and
companies will be able to directly buy them
from us

22. Blockchain in AI

23. trustworthiness
● Validation of data model credibility and
decision making process of the machine

24. Effectiveness
● a secure data sharing means more data
(and more training data), and then better
models, better actions, better results.

25. Market
● new marketplaces: a data marketplace (low-
hanging fruit); a models marketplace (much
more interesting); and finally even an AI
marketplace
● data monetization mechanism

26. Trust
● Audit bots and ensure transparent decision
msking
●

27. Risk management
● Smart contracts will make transactions
more secure

28. Case study
● Singularity.net:- decentralized AI marketplace.
● companies can buy and sell A.I. algorithms,
machine learning tools and data sets on a global
scale, facilitating growth of the industry.
● Numerai—A.I. Hedge Fund: Numerai
incentivizes the regular submission of
predictions

29. Conclusion
● The Merging of the two technologies will
add complexity to systems but it will be
advantageous.
● Blockchain + AI = Future

30. AI Saturday

31. Contact me
● Email: felicitymecha@gmail.com
● Facebook: felicity mecha
● Twitter: fliquestarr
● Instagram: eng.felicity