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Ocean ProtocolA decentralized data exchange protocol to unlock data for AI
Dr. Irene Lopez de Vallejo – Founding Team Member Ocean Protocol - @ILdeV
From the Second Machine
Age to the Convergence
Ecosystem
Megatrends
The Second machine Age - Inflection point
Convergence – the Emerging Web 3.0 Value Chain
Web 2.0 Megatrends
• mobile, social, and cloud
Web 3.0 Megatrends
• next-gen computing, AI, and crypto
New data value chain across all
industries:
• Production (IoT, next-gen computing)
• Distribution (crypto)
• Consumption (AI)
4
Data Economy
Context and Opportunity
Data is growing exponentially
1 ZB1
16 ZB2
2010
2016
2025
160+ ZB2
1) Source: Apixel
2) Source: Storagenewsletter
1 ZB1
16 ZB2
2010
2016
2025
160+ ZB2
But only a small amount is analyzed and shared
1) Source: Apixel
2) Source: Storagenewsletter
3) McKinsey
% of data
analyzed3
AI is starving for data
▪ AI needs data
▪ Without data, AI models are not
accurate
▪ 150 fundamental use cases
across all industry sectors
identified
▪ AI advances 6x faster, if data is
available
AI and Data aren‘t connecting
AI Start-ups & researchers Multinationals & governments
▪ Have algorithms
▪ ...but no data
▪ Have data
▪ ...and want to activate
Disconnection
Data AI Expertise$
Data $ AI
Expertise
?Data Availability
What are we trying to solve?
AI ?Data Availability for AI
What are we trying to solve?
Data Sharing
Enabling Data Supply Chains
Existing data sharing methods don‘t give data
providers comfort to share data
A market and technology
failure to make data
available
Data providers need to feel
safe before they can
comfortably share data
1
2
3
4
5
6
Control
Security
Transparency
Tracking
Auditing
Pricing
7 Compliance
Ocean Protocol
A decentralized data exchange protocol to unlock data for AI
Ocean Protocol mission
• Unlock data—make data ever more accessible to a broader
range of people & organizations.
• Human right to personal data privacy & consent — Privacy must
be a first class citizen!
• Spread of power—transparent governance
• Spread of value—spread wealth creation among the
community (vs a new oligarchy).
• Work with the law
https://blog.oceanprotocol.com/mission-values-for-ocean-protocol-aba998e95b8
Ocean Protocol solves data sharing
for all Stakeholders
▪ a decentralized data exchange protocol to unlock
data for AI
▪ uses blockchain technology that allows data to be
shared and transferred in a safe, secure and
transparent manner
▪ enables a decentralized platform and network
connecting providers and consumers of valuable
data, and providing open access for developers to
build services
Why blockchain?
Traditional Data Exchange Decentralised Future
Rigid, bespoke solutions Automation by protocol
Difficult to track and audit Immutable record and provenance
Manual audit and verification Cryptographic Proof
Point to point Ecosystem
Complex negotiated agreements Market Pricing + Commons
Key Ecosystem Participants
Properties of the ecosystem
▪ Shared environment
▪ Value exchange
▪ Incentives
▪ Decentralised
The Ocean Protocol Token (OCN)
is a vehicle for building trust &
is the means of value exchange
and network incentivization
Earn OCN for selling Data
Earn OCN for supporting the network
Earn OCN for publishing public data
▪ Publish data for sale with a variety of
pricing mechanisms
▪ Maintain full control
▪ Comply with regulation
▪ Provide validation and verification services
for the network
▪ Store blockchain history of transactions
▪ Publish, curate and conserve public data
to earn minting rewards
It has super powers!
• Align network socio-economic incentives
(reward work & good behaviour)
• Means to understand and measure the value
of data
• Ecosystem growth = network ownership +
token incentivisation
Data marketplaces earn OCN
▪ Curate and publish data to Ocean Protocol
to find new buyers
Asset access rules are controlled by publishers
Open
Qualified
● Any actor may access once
consumption rights are
purchased
Restricted
Private
● Actors may access if they
meet qualifying criteria
● Actors may access only if they
are explicitly trusted by the
publisher
● No actors other than the
publisher may access
Most convenient
Most secure
Access rules Example use case
● Econometric aggregate data
available to all for a fixed price
● Experimental data available
only to certified educational
institutions
● Sales data shared among a
group of collaborating
companies
● Patient level healthcare data
kept private within a hospital
Benefits for Data scientists (1)
• Way more data. (a)
More commons
data via network
rewards and (b)
more enterprise
data with less worry
of data escapes via
access to on-
premise compute.
https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
Benefits for Data scientists (2)
• Crypto-secured provenance in data & AI
training
• Ocean Protocol extends the capabilities of
transparency around data sharing process
– Static data sharing (blockchain)
– Dynamic data sharing (smart contract)
– Dynamic programme (AI model)
• Enables complex data provenance
– Static provenance (data heritage, cause and
effect)
– Dynamic provenance (data processing for AI)
https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
Benefits for Data scientists (3)
• More income
opportunities. For
generating data.
For cleaning,
labelling, and
feature engineering
data. For curating
and serving up
data & services
https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
Ocean Protocol
Data
Consumptio
n Production Curation Privacy Discovery Governanc
e
Delivery
Ocean is a backbone for a new Data Economy
Ocean Demo Use Case
Data Sharing Between Research Institutes
and Data Scientists
NNI Stores the data on
Server
NNI registers the data as
asset on Ocean
Discoverable data
asset on Ocean
(1)
Data scientist discovers
the data asset
Data science environment
pulls and loads the data
asset
Buy Request
Loaded on
Data Science
environment
Data scientist works on
data (Modelling)
Data scientist analyses on
Zeppelin NB
Data scientist registers the
Notebook on Ocean as asset
Discoverable asset on
Ocean
(2)
User data from
Motion sensors
Example Data Supply Chain
Consumer
Service Provider
Asset
Storage
Publisher
Ocean
CLI
Browser
Web App
Data Science Environment
National Neuroscience Institute
data expert
Data scientist at
healthcare start-up
Secure Sandbox
Ocean
Decentralised Keeper Network
Parkinson’s Dataset:
3D Motion Data
Metadata
Storage
Architecture
Data Scientist
Contract
* Service
* Access
* Condition
Contract
* Service
* Access
* Condition
Data Owner
Service Owner
Keepers
Verifiers
Proofs &
Challenges
Accounts,
Contracts &
Reward
Curators
Discovery,
Opinion &
Governance
Compute
Tribe
Data
Tribe
Decentralized Access Control
Dispute Resolution
Roadmap
1 2 3
Contract
* Service
* Access
* Condition
Contract
* Service
* Access
* Condition
Contract
* Service
* Access
* Condition
Plankton
“Tap into Data Science tools”
● Decentralized Access Control
● Simple service contracts
● Centralized OceanDB
Trilobyte
“Signal data assets”
● Asset Discovery
● Initial curation
● Distributed OceanDB
● Simple Marketplace
Tethys
“Promote verified services”
● Verified service contracts
● Incentives for the commons
● Knowledge Tribes
3
Use Cases
Active collaborations and success stories
Lead Users & Key Partners to Kickstart the Ecosystem
Singapore government
Agencies & Authorities
Example industry partners Technical & Service
partners
▪ Singapore lead government partner
▪ Enables regulatory sandboxes
▪ Close collaboration to provide over-
sight, compliance and indemnify
Industry
Commons
▪ Provide data
▪ Consume data
▪ Act as partners during
development sprints
▪ Expertise in governance, tax, legal
and regulation
▪ Support in IT, Security, token
launches
Tax
Data
Governance
Legal
Computing Security
Cloud
Computing
Unique Trusted Data Framework
DEX, PwC Singapore, and the Info-communications Media
Development Authority of Singapore (IMDA) has formed a
collaboration to develop a Trust Framework on Ocean Protocol and
reference marketplace solution that enables safe, trusted, scalable
and effective data exchange. The Trust Framework is to address
each stakeholder’s trust requirements for data sharing and related
transactions and outlines specific solutions to ensure trust in the
entire ecosystem.
DRFT
• Inform participants, industry partners, regulators and general public what solutions and mechanisms Ocean
Protocol offers to establish trustworthiness of assets, services, transactions and counterparties
• Describe good practices for trust that marketplaces and service providers should implement
• Provide answers to participant-specific trust concerns
Data sharing requires Trust Framework
Trust and
trustworthiness
Objective of
Trust
Framework
(Open Licence)
• Trust: “Belief that an entity will behave in a predictable manner while performing specific functions, in
specific environments and under specified conditions or circumstances”1
• Trustworthiness: “Attribute of an entity that provides confidence to others of the qualifications, capabilities
and reliability of that entity to perform specific tasks and fulfill assigned responsibilities”1
1 NIST Special Publication 800-39, Managing Information Security Risk
Need for trust
in data sharing
ecosystem
• Trustworthiness in a data sharing ecosystem hinges on objective verification of robustness, transparency,
fairness, security and regulatory compliance of underlying processes
• Foundational trust will be provided by the trustless design of Ocean Protocol network
• Corporate participants will look for additional trust mechanisms and solutions that are not directly codified
into the Ocean Protocol but are implemented in off-chain layers
DRAFT
Trust Framework component Example trust concern
Participant identity Who are the counterparties I am dealing with? What is their track record?
Asset and service credibility How do I verify that assets or services conform to expectations, agreements or claims?
Value How do I know that value has been exchanged fairly and securely?
Privacy How can I be sure that personal data is handled in a responsible and compliant manner?
Control How can I restrict and control access to assets or services that I own?
Provenance Who is the original author or creator of an asset or service? What rights do they have?
Security How are my assets and interests protected from harm or unauthorised access?
Trust Framework addresses shared concerns
Use Cases
Development Sprints
Development Sprints
▪ Industry led regulatory sandboxes that provide an approved legal and regulatory framework for data
sharing by industry and government alike
▪ Replicable programmes consisting of collaboratives, where data publishers, data consumers, solution
developers and technology providers collaboratively work together to solve business challenges in a
safe regulatory environment
▪ Private sector led
7 industry-led sprints within regulatory sandboxes
Mobility
Financial
service
Healthcare Utility
Built-up
Environment
Retail Agri-tech
Empowering
HEALTHCARE innovation
through DATA & AI
Ocean Protocol
AI4GOOD / AI COMMONS
CONNECTEDLIFE / DIGITAL HELIX
DR FRANZ MJ PFISTER, MD, MBA
#AIforGood
NO COLLABORATION
Healthcare is DESPERATELY
LOOKING FOR access to innovation
Improved
Quality
Personalized
Care
Public
Health
Cost
Improvement
Business Model
Innovation
Improved
Quality
Personalized
Care
Public
Health
Cost
Improvement
Business Model
Innovation
DEMOCRATIZING DATA & AI
Problem
Owners
Problem
Solvers
#AIforGood
GitHub
Ambassador
Programme
Ambassador Programme
Bounties
Ocean Protocol Blog
Dive into Ocean!
• raindrop@oceanprotocol.com
• 200 Ocean Tokens
• TODAY 11 December 2018 ONLY!
• Between 13:00 pm – 15:00 pm CET
• For the BDVA community
Let’s use blockchain to connect Data and AI
We can build a new
Data Economy that
unlocks data and value...
… and gives power to data
owners
BDVe Webinar Series - Ocean Protocol – Why you need to care about how you share data

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BDVe Webinar Series - Ocean Protocol – Why you need to care about how you share data

  • 1. Ocean ProtocolA decentralized data exchange protocol to unlock data for AI Dr. Irene Lopez de Vallejo – Founding Team Member Ocean Protocol - @ILdeV
  • 2. From the Second Machine Age to the Convergence Ecosystem Megatrends
  • 3. The Second machine Age - Inflection point
  • 4. Convergence – the Emerging Web 3.0 Value Chain Web 2.0 Megatrends • mobile, social, and cloud Web 3.0 Megatrends • next-gen computing, AI, and crypto New data value chain across all industries: • Production (IoT, next-gen computing) • Distribution (crypto) • Consumption (AI) 4
  • 6. Data is growing exponentially 1 ZB1 16 ZB2 2010 2016 2025 160+ ZB2 1) Source: Apixel 2) Source: Storagenewsletter
  • 7. 1 ZB1 16 ZB2 2010 2016 2025 160+ ZB2 But only a small amount is analyzed and shared 1) Source: Apixel 2) Source: Storagenewsletter 3) McKinsey % of data analyzed3
  • 8. AI is starving for data ▪ AI needs data ▪ Without data, AI models are not accurate ▪ 150 fundamental use cases across all industry sectors identified ▪ AI advances 6x faster, if data is available
  • 9. AI and Data aren‘t connecting AI Start-ups & researchers Multinationals & governments ▪ Have algorithms ▪ ...but no data ▪ Have data ▪ ...and want to activate Disconnection
  • 12. ?Data Availability What are we trying to solve?
  • 13. AI ?Data Availability for AI What are we trying to solve?
  • 14. Data Sharing Enabling Data Supply Chains
  • 15. Existing data sharing methods don‘t give data providers comfort to share data A market and technology failure to make data available Data providers need to feel safe before they can comfortably share data 1 2 3 4 5 6 Control Security Transparency Tracking Auditing Pricing 7 Compliance
  • 16. Ocean Protocol A decentralized data exchange protocol to unlock data for AI
  • 17. Ocean Protocol mission • Unlock data—make data ever more accessible to a broader range of people & organizations. • Human right to personal data privacy & consent — Privacy must be a first class citizen! • Spread of power—transparent governance • Spread of value—spread wealth creation among the community (vs a new oligarchy). • Work with the law https://blog.oceanprotocol.com/mission-values-for-ocean-protocol-aba998e95b8
  • 18. Ocean Protocol solves data sharing for all Stakeholders ▪ a decentralized data exchange protocol to unlock data for AI ▪ uses blockchain technology that allows data to be shared and transferred in a safe, secure and transparent manner ▪ enables a decentralized platform and network connecting providers and consumers of valuable data, and providing open access for developers to build services
  • 19. Why blockchain? Traditional Data Exchange Decentralised Future Rigid, bespoke solutions Automation by protocol Difficult to track and audit Immutable record and provenance Manual audit and verification Cryptographic Proof Point to point Ecosystem Complex negotiated agreements Market Pricing + Commons
  • 20. Key Ecosystem Participants Properties of the ecosystem ▪ Shared environment ▪ Value exchange ▪ Incentives ▪ Decentralised
  • 21. The Ocean Protocol Token (OCN) is a vehicle for building trust & is the means of value exchange and network incentivization Earn OCN for selling Data Earn OCN for supporting the network Earn OCN for publishing public data ▪ Publish data for sale with a variety of pricing mechanisms ▪ Maintain full control ▪ Comply with regulation ▪ Provide validation and verification services for the network ▪ Store blockchain history of transactions ▪ Publish, curate and conserve public data to earn minting rewards It has super powers! • Align network socio-economic incentives (reward work & good behaviour) • Means to understand and measure the value of data • Ecosystem growth = network ownership + token incentivisation Data marketplaces earn OCN ▪ Curate and publish data to Ocean Protocol to find new buyers
  • 22. Asset access rules are controlled by publishers Open Qualified ● Any actor may access once consumption rights are purchased Restricted Private ● Actors may access if they meet qualifying criteria ● Actors may access only if they are explicitly trusted by the publisher ● No actors other than the publisher may access Most convenient Most secure Access rules Example use case ● Econometric aggregate data available to all for a fixed price ● Experimental data available only to certified educational institutions ● Sales data shared among a group of collaborating companies ● Patient level healthcare data kept private within a hospital
  • 23. Benefits for Data scientists (1) • Way more data. (a) More commons data via network rewards and (b) more enterprise data with less worry of data escapes via access to on- premise compute. https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
  • 24. Benefits for Data scientists (2) • Crypto-secured provenance in data & AI training • Ocean Protocol extends the capabilities of transparency around data sharing process – Static data sharing (blockchain) – Dynamic data sharing (smart contract) – Dynamic programme (AI model) • Enables complex data provenance – Static provenance (data heritage, cause and effect) – Dynamic provenance (data processing for AI) https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f
  • 25. Benefits for Data scientists (3) • More income opportunities. For generating data. For cleaning, labelling, and feature engineering data. For curating and serving up data & services https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f Ocean Protocol Data Consumptio n Production Curation Privacy Discovery Governanc e Delivery Ocean is a backbone for a new Data Economy
  • 26. Ocean Demo Use Case Data Sharing Between Research Institutes and Data Scientists
  • 27. NNI Stores the data on Server NNI registers the data as asset on Ocean Discoverable data asset on Ocean (1) Data scientist discovers the data asset Data science environment pulls and loads the data asset Buy Request Loaded on Data Science environment Data scientist works on data (Modelling) Data scientist analyses on Zeppelin NB Data scientist registers the Notebook on Ocean as asset Discoverable asset on Ocean (2) User data from Motion sensors Example Data Supply Chain
  • 28. Consumer Service Provider Asset Storage Publisher Ocean CLI Browser Web App Data Science Environment National Neuroscience Institute data expert Data scientist at healthcare start-up Secure Sandbox Ocean Decentralised Keeper Network Parkinson’s Dataset: 3D Motion Data Metadata Storage Architecture
  • 29. Data Scientist Contract * Service * Access * Condition Contract * Service * Access * Condition Data Owner Service Owner Keepers Verifiers Proofs & Challenges Accounts, Contracts & Reward Curators Discovery, Opinion & Governance Compute Tribe Data Tribe Decentralized Access Control Dispute Resolution
  • 30. Roadmap 1 2 3 Contract * Service * Access * Condition Contract * Service * Access * Condition Contract * Service * Access * Condition Plankton “Tap into Data Science tools” ● Decentralized Access Control ● Simple service contracts ● Centralized OceanDB Trilobyte “Signal data assets” ● Asset Discovery ● Initial curation ● Distributed OceanDB ● Simple Marketplace Tethys “Promote verified services” ● Verified service contracts ● Incentives for the commons ● Knowledge Tribes 3
  • 31. Use Cases Active collaborations and success stories
  • 32. Lead Users & Key Partners to Kickstart the Ecosystem Singapore government Agencies & Authorities Example industry partners Technical & Service partners ▪ Singapore lead government partner ▪ Enables regulatory sandboxes ▪ Close collaboration to provide over- sight, compliance and indemnify Industry Commons ▪ Provide data ▪ Consume data ▪ Act as partners during development sprints ▪ Expertise in governance, tax, legal and regulation ▪ Support in IT, Security, token launches Tax Data Governance Legal Computing Security Cloud Computing
  • 33. Unique Trusted Data Framework DEX, PwC Singapore, and the Info-communications Media Development Authority of Singapore (IMDA) has formed a collaboration to develop a Trust Framework on Ocean Protocol and reference marketplace solution that enables safe, trusted, scalable and effective data exchange. The Trust Framework is to address each stakeholder’s trust requirements for data sharing and related transactions and outlines specific solutions to ensure trust in the entire ecosystem.
  • 34. DRFT • Inform participants, industry partners, regulators and general public what solutions and mechanisms Ocean Protocol offers to establish trustworthiness of assets, services, transactions and counterparties • Describe good practices for trust that marketplaces and service providers should implement • Provide answers to participant-specific trust concerns Data sharing requires Trust Framework Trust and trustworthiness Objective of Trust Framework (Open Licence) • Trust: “Belief that an entity will behave in a predictable manner while performing specific functions, in specific environments and under specified conditions or circumstances”1 • Trustworthiness: “Attribute of an entity that provides confidence to others of the qualifications, capabilities and reliability of that entity to perform specific tasks and fulfill assigned responsibilities”1 1 NIST Special Publication 800-39, Managing Information Security Risk Need for trust in data sharing ecosystem • Trustworthiness in a data sharing ecosystem hinges on objective verification of robustness, transparency, fairness, security and regulatory compliance of underlying processes • Foundational trust will be provided by the trustless design of Ocean Protocol network • Corporate participants will look for additional trust mechanisms and solutions that are not directly codified into the Ocean Protocol but are implemented in off-chain layers
  • 35. DRAFT Trust Framework component Example trust concern Participant identity Who are the counterparties I am dealing with? What is their track record? Asset and service credibility How do I verify that assets or services conform to expectations, agreements or claims? Value How do I know that value has been exchanged fairly and securely? Privacy How can I be sure that personal data is handled in a responsible and compliant manner? Control How can I restrict and control access to assets or services that I own? Provenance Who is the original author or creator of an asset or service? What rights do they have? Security How are my assets and interests protected from harm or unauthorised access? Trust Framework addresses shared concerns
  • 37. Development Sprints ▪ Industry led regulatory sandboxes that provide an approved legal and regulatory framework for data sharing by industry and government alike ▪ Replicable programmes consisting of collaboratives, where data publishers, data consumers, solution developers and technology providers collaboratively work together to solve business challenges in a safe regulatory environment ▪ Private sector led
  • 38. 7 industry-led sprints within regulatory sandboxes Mobility Financial service Healthcare Utility Built-up Environment Retail Agri-tech
  • 39.
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