AI Blockchain IoT Convergence System Technology & Business Development

AI + Blockchain + IoTAI + Blockchain + IoTAI + Blockchain + IoTAI + Blockchain + IoT
Convergence SystemConvergence System
Technology & BusinessTechnology & Business
DevelopmentDevelopmentDevelopmentDevelopment
November 17 2020November 17 2020November 17, 2020November 17, 2020
Alex G. LeeAlex G. Lee
©2020 TechIPm, LLC All Rights Reserved www.techipm.com

Fourth Industrial RevolutionFourth Industrial Revolution
&&&&
Data EconomyData EconomyData EconomyData Economy

The Fourth Industrial Revolution?
What is happening now in technological breakthroughs?
Self-learning machines (AI) can analyze Big Data from business & from
datafied real world (IoT) for insights rapidly (5G) and objectively in adatafied real world (IoT) for insights rapidly (5G) and objectively in a
trusted way using Blockchain for human beings to create economic value.
©2020 TechIPm, LLC All Rights Reserved

Data is a critical factor of production, complementing labor and physical capital.
Data Economy
Just as oil/electricity is the base for many industrial activities, data is the input for many
industries that are interconnected through digital infrastructure (IT/Telecom/Computing
Power)Power).
Economic value creation process via data must be policed effectively to prevent unlawful
use and to maintain the privacy and integrity of the data for fairer marketplace (Datause and to maintain the privacy and integrity of the data for fairer marketplace (Data
economy cannot function without trust ).
Data Economy GDP = GDP based on real data market size + induced/indirect economicy
influence of the data economy (not including non-economic value creations such as on
health, safety, environment etc.).
Digitization vs. Datafication
Digitization is the process of converting information from a physical format into a
computer readable digital format.
Datafication is the act of transforming something into a quantified format.
Ref. Kumar, Sree et al. The Data Economy (Routledge Research in Public Administration and Public Policy), Taylor and Francis.

About Me in Relation to 4th Industrial Revolution
2003.02.11 2005.10.05 2007.07.27

AI/Blockchain/AI/Blockchain/IoTIoT/Big Data/Big Data
I t d tiI t d tiIntroductionIntroduction

Artificial Intelligence Revolution
AI Research Trends
Large-scale machine learning
Deep learning
Reinforcement learningReinforcement learning
Computer vision
Natural Language Processing
RoboticsRobotics
Internet of Things (IoT)
Collaborative autonomous systems
AI BY DOMAIN HEALTHCARE
TRANSPORTATION
Smarter Cars
Self-driving vehicles
T t ti l i
The clinical setting
Healthcare analytics
Healthcare robotics
Mobile health
PUBLIC SAFETY AND SECURITY
EMPLOYMENT AND WORKPLACE
Transportation planning
On-demand transportation
Interacting with people
HOME/SERVICE ROBOTS
Elder care
EDUCATION
Teaching robots
I lli T i S (ITS) d li
ENTERTAINMENT
HOME/SERVICE ROBOTS
Vacuum cleaners
Home robots
Intelligent Tutoring Systems (ITS) and online
learning
Learning analytics

Deep Learning Introduction
Convolutional Neural Networks (CNNs): image/video analysisCo o ut o a eu a et o s (C s) age/ deo a a ys s
R t N l N t k (RNN ) ti i l iRecurrent Neural Networks (RNNs):time series analysis
Source: Deep Learning A-Z™: Hands-On Artificial Neural Networks by SuperDataScience@udemy
Reinforcement Learning (RL): automatically determine the ideal behaviour
within a specific context in order to maximize its performance for a specific goalwithin a specific context, in order to maximize its performance for a specific goal
Source: Reinforcement Learning in Python by Lazy Programmer Inc.@udemy

Blockchain Components
Source: Building Blockchain Apps using Ethereum & Hyperledger@Udemy

Blockchain Platform: Ethereum
Source: Blockchain Applications: A Hands-On Approach@A. Bahga & V. Madisettipp pp @ g

Blockchain Platform: Hyperledger Fabric
©2020 TechIPm, LLC All Rights Reserved source: ChainDigit

IoT Introduction
IoT Components
IoT devices: Devices that can sense/recognize their surrounding environments
(including position/movement/identification) and communicate with other devices
Networks: Connecting/communicating medium/infrastructure that can
interconnect devices and connect devices to the internet
IT t B k d b dd d t th t i f tiIT systems: Back-end or embedded systems that can process information
(data) obtained by the IoT devices (e.g. cloud computing/big data analytics) and provide
the value added services exploiting the information
IIoT
According to Industrial Internet Insights Research Report from GE and
Accenture, the Industrial Internet — the combination of Cloud Big Data, AI with the
Internet of Things will produce huge opportunities for companies in Aviation Oil andInternet of Things — will produce huge opportunities for companies in Aviation, Oil and
Gas, Transportation, Power Generation and Distribution, Manufacturing, Healthcare and
Mining industries.
Big Data with the Internet of Things will help manufacturing sector to design new
business models and facilitate cost effective operation and supply chain solutions.

IoT Key Applications

IoT Data Acquisition & Processing Flow
Source: DATA Science for IoT@Ajit Jaokar

Big Data Analysis Flow

Big Data Use Cases

AI/Blockchain/AI/Blockchain/IoTIoT
T h l I tiT h l I tiTechnology InnovationTechnology Innovation
Insights from PatentsInsights from PatentsInsights from PatentsInsights from Patents

Patents are a good information resource for obtaining the state of the art of
AI/Bl k h i /I T h l i i i i h P h ifi ll d ib h
Technology Innovation Insights from Patents
AI/Blockchain/IoT technology innovation insights. Patents that specifically describe the
major AI/Blockchain/IoT technologies are a good indicator of the AI technology
innovations in a specific innovation entity.
To find AI/Blockchain/IoT technology innovation status, patent applications in the
USPTO/EPO/IPO during the period of January 1, 2010 - September 30, 2020 in priority
date that specifically describe the major AI/Blockchain/IoT technologies are searched
d i dand reviewed.
48,000/17,000/32,000 published patent applications that are related to the key
AI/Blockchain/IoT technology innovation are selected for detail analysis.gy y
Top 100 AI/Blockchain/IoT technology innovation entities are selected based on their
number of published patent applications.
A patent counting for growth in patenting over a period of times can be a good
measuring tool for monitoring the evolution of technology innovation. AI/Blockchain/IoT
patenting activities with respect to the technology innovation date (priority year) are
analyzed.

Top 100 AI Technology Innovation Entities

Top 100 Blockchain Technology Innovation Entities

Top 100 IoT Technology Innovation Entities

AI/Blockchain/IoT Patent Application Activity Chart

AI Technology Innovation Entities HQ Landscape

Blockchain Technology Innovation Entities HQ Landscape

IoT Technology Innovation Entities HQ Landscape

AI Key Technology Landscape

Blockchain Key Technology Landscape

IoT Key Technology Landscape

AI
Google Deep Learning Innovation Insights from Patents
R&D/Product/Service Insights from Patents
Google Deep Learning Innovation Insights from Patents
Link: https://www.slideshare.net/alexglee/google-deep-learning-innovation-insights-from-patents
IBM v. MS v. Google Deep Learning Innovation Strategy Insights from Patents
Link: https://www.slideshare.net/alexglee/ibm-v-ms-v-google-deep-learning-innovation-strategy-insights-from-
patents
R i f t L i htt // lid h t/ l l /d i f t l i i ti i i htReinforcement Learning: https://www.slideshare.net/alexglee/deep-reinforcement-learning-innovation-insights-
from-patents
5G Telecommunications: https://www.slideshare.net/alexglee/deep-learning-for-5g-innovation-insights-from-
patents
Cybersecurity: https://www.slideshare.net/alexglee/deep-learning-for-cybersecurity-innovation-insights-from-y y p g p g y y g
patents
Autonomous Vehicle: https://www.slideshare.net/alexglee/deep-learning-for-autonomous-vehicle-innovation-
insights-from-patents
BlockchainBlockchain
Blockchain Applications Innovation Insights from Patents
Privacy: https://www.slideshare.net/alexglee/blockchain-privacy-innovation-insights-from-patents
DID: https://www.slideshare.net/alexglee/blockchain-decentralized-identifier-did-innovation-insights-from-patents
Interoperability: https://www.slideshare.net/alexglee/blockchain-interoperability-innovation-insights-from-patents
Tokenization: https://www.slideshare.net/alexglee/blockchain-tokenization-innovation-insights-from-patents
IoT
Internet of Things (IoT) Strategy: Patent Perspectives
Link: https://www slideshare net/alexglee/internet-of-things-iot-strategy-patent-perspectives
Link: https://www.slideshare.net/alexglee/internet of things iot strategy patent perspectives
Internet of Things (IoT) Strategic Patent Development and Monetization
Link: https://www.slideshare.net/alexglee/internet-of-things-iot-strategic-patent-development-and-monetization-1q-
2016

FrontlineFrontlineFrontlineFrontline

AI Innovation Frontline
Emotion AI
3D Image Recognition

Future of AI
Source: https://www.youtube.com/watch?v=FuI26Bjr05s

Emotion AI Chatbot Demo
Source: https://youtu.be/a-ypdTlnIdI

Following independent clams are generated by a deep learning based automatic patent
Will AI Patent Attorney Be Possible?
claim drafting tool PatentTransformer using my seed input -“An artificial intelligent
emotion chatbot using an advanced deep learning natural language processing.”
Generated Patent ClaimGenerated Patent Claim
An artificial intelligent emotion chatbot using an advanced deep learning natural language processing (ALS)
framework and being configured to respond to a natural language spoken by an individual, the artificial intelligent
emotion chatbot comprising:
a natural language understanding component that receives a natural language from the individual, that receives
emotion information from the individual, and
that receives contextual information that relates to a situation that has been experienced by the individual;
a machine-learning component that processes the emotion information and the contextual information into
actionable emotion data, and
that outputs the actionable data wherein the machine-learning component includes:that outputs the actionable data, wherein the machine learning component includes:
an emotion converter that receives the emotion data from the emotion data generator and that generates a
sentiment value that corresponds to the emotion data;
a contextual converter that receives the contextual information from the individual and that generates a context
value that corresponds to the contextual information;
ti t th t f h it ti th t h b i d b th i di id l tan action generator that, for each situation that has been experienced by the individual, generates a
hypothetical action that relates to the situation, wherein the hypothetical action is generated based on the context
value and the actionable data; and
an output component that outputs each of the hypothetical actions generated by the action generator; and
a human interface component that receives the actionable data from the output component and that displays a
p p p p y
user interface that receives input from the user based on the input received.
Source: https://www.researchgate.net/publication/342275960_PatentTransformer_A_Framework_for_Personalized_Patent_Claim_Generation

Blockchain Innovation Frontline: Issues with Public Chain
Directed Acyclic Graph (DAG): IOTA, Locus Chain
Source: Blockchain for Business: The New Industrial Revolution @Udemy

Hyperledger Fabric Production Grade Network Implementation
Hi h Th h t Ch i d A l t M lti K fk O dHigh Throughput Chaincode + Accelerator + Multi-Kafka Orderer

Token Transactions over Production Grade HF Network
Six test cases for: 3orgs-2-2-2peers-2kafkas-2orderers on Google cloud
1. Opening account: invoke chaincode function for opening an account.
2. Mint tokens: invoke chaincode function for mint new tokens using
d i i tadminsignature.
3. Query balance: invoke chaincode function to query the balance.
4. User account: invoke chaincode function to create user account.
5 Token transaction to a user: invoke chaincode function for sending token to a5. Token transaction to a user: invoke chaincode function for sending token to a
user.
6.User transactions: invoke chancode function for user transactions.

Blockchain Innovation Frontline: DeFi
DeFi is an ecosystem of Decentralized Applications that provide financiale s a ecosyste o ece t a ed pp cat o s t at p o de a c a
services built on top of blockchain with no governing authority.
Source: https://medium.com/@SeanLippel/decentralized-finance-is-a-continuum-179d43c6ef65

The amount of funds blocked in the DeFi reached almost $ 13.5 billion as ofe a ou t o u ds b oc ed t e e eac ed a ost $ 3 5 b o as o
November 2020, according to DeFi Pulse (https://defipulse.com/)

Blockchain Innovation Frontline: DID(Self-Sovereign Identity)
publicKey
Verifiable
Credential
Verifiable
Presentation
DID AUTH
DID Document: DID/publicKeyDID Document: DID/publicKey
Source: https://www.w3.org/TR/did-core/

DID(Self-Sovereign Identity) Use Cases
Healthcare Insurance Claim
Open Banking –
One click KYC, Self-Enroll and Onboarding
Source: Mohanty, Debajani. Blockchain for Self Sovereign Digital Identity: With use cases and comparative study of Digital Identity
protocols as Ethereum’s uPort & Civic, Hyperledger’s Indy & Aries and Microsoft’s. Kindle Edition.
Credit Rating and Loan Approval COVID-19 Vaccination Verification

IoT Innovation Frontline: 5G & Edge AI
Source: https://www.researchgate.net/publication/342402668_Towards_Edge_Intelligence_Multi-
Access_Edge_Computing_for_5G_and_Internet_of_Things; https://jelvix.com/blog/what-is-edge-computing

vs.vs.vs.vs.
Privacy ProtectionPrivacy Protection

Data Privacy

AI, Blockchain, IoT GDPR v. PIPA Compliance AT A Glance

AI/AI/BlockchainBlockchain//IoTIoT
Business StrategyBusiness Strategy
&&&&
BM DevelopmentBM Developmentpp

AI Innovation Checkpoint

AI Innovative BM Development
What to innovate:
Recognition
Prediction
A t tiAutomation
Communication
Creation
How to innovative:
Improvement
ReplacementReplacement
Value Transformation
Creation/Convergence
Why innovative:
User/Customer Value Propositions/Experiences Innovation

Blockchain Innovation Checkpoint

IoT Innovation Exploiting Patents
Blue Ocean Differentiation
The basic principle in the Blue Ocean Patent Strategy is to exploit existing
patents to achieve the value innovation, and thus, to serve the customers
in fundamentally different ways.

The Business Model Canvas is a graphic representation of building blocks for
Business Model Canvas
business model development. The building blocks are:
1. Value propositions: products/services that a business offers to customers for
meeting the customers' needs
2. Key activities: core activities of a company for executing value propositions
3. Key resources: human, financial, physical and intellectual resources
4 K t lli / ll b ti t4. Key partners: alliances/collaboration partners
5. Customer segments: identity of customers (markets) that a company tries to
offer the value propositionsoffer the value propositions
6. Channels: ways to provide a company’s value propositions (communications,
distribution and sales channels)
7 Customer relationships: relationship that a company wants to create with its7. Customer relationships: relationship that a company wants to create with its
customer segments
8 Cost structure: cost for business operation
8. Cost structure: cost for business operation
9. Revenue streams: ways that a company makes income from each customer
segment

Underserved needs/Job to be done/Pain point
Value Propositions
p
Automation: Providing various automation services for the customers’ job
to be done (e.g., order the out of stock product automatically; self-driving car)
Care: Caring for customers (e.g., monitor person’ s body status and provide
various health care services; control customer’s home cooling and heating/
lighting system for energy savings)g g y gy g )
Business/Industry Intelligence: Providing better working/production
tools/environments (e.g., analyze customers’ shopping behavior for proactive
promotion/advertisement; industrial assets management)promotion/advertisement; industrial assets management)
Entertainment: Providing fun to customers (e.g., location based augmented reality
games)
Trust: Providing a basis of trust for business transactions/process operations (e.g.,
transparent visibility of supply chain management; protect privacy by protecting personal
information)
information)
Usefulness/Ease of use/Cognitive attractiveness

Blockchain Business Model Canvas
Source: Bert Langa "Blockchain for Business: A Hands-on approach: Understand the Technical Principles of Blockchain, and learn
how to build Successful Business Models based on this technology (TRENDS)"

AI BM Best Practice: GenesisAI
Source https://www.youtube.com/watch?v=-JDM1z7qE-0

Startup StrategyStartup Strategy

Boston Startup Ecosystem
https://www.meetup.com/Boston_New_Technology/
https://www.meetup.com/startupalooza/

https://www.meetup.com/Boston-Blockchain-Association/

https://www.meetup.com/Boston-Blockchain-Meetup/
https://www.meetup.com/Hyperledger-Boston/

https://www.meetup.com/Boston-Artificial-Intelligence-Deep-Learning/
https://www.meetup.com/bostonml/

Boston’s Top Accelerators, Incubators, and Startup Programs
Boston Founder Institute (https://fi co/): the world’s premier idea stage accelerator andBoston Founder Institute (https://fi.co/): the world s premier idea-stage accelerator and
startup launch program that provides the structure, training, mentor support, and global
network needed to start an enduring company.
Harvard innovation labs (https://innovationlabs.harvard.edu/): an innovation ecosystem
for Harvard students, alumni, and life science majors.
MassChallenge Accelerator (https://masschallenge org/about-faq): a community ofMassChallenge Accelerator (https://masschallenge.org/about-faq): a community of
innovators working together to solve some of the world’s biggest challenges that
strengthens the global innovation ecosystem by accelerating high-potential startups.
MIT Enterprise Forum of Cambridge (https://www.mitforumcambridge.org/about/classes-
mentors-entrepreneurs/mentor-smart/): The MIT Mentor Smart Program assists science
and technology entrepreneurs in moving their ideas forward by assigning them mentors
to help with both long and short term goals.to help with both long and short term goals.
Boston Startup Accelerators, Incubators, & Support Programs
https://bostonstartupsguide.com/guide/every-boston-startup-accelerator-incubator/

AI in Boston – An Overview of Startups, Funding, and Trends
Source: https://emerj com/ai market research/artificial intelligence boston overviewSource: https://emerj.com/ai-market-research/artificial-intelligence-boston-overview-
startups-funding-trends/
1 – Artificial Intelligence in Boston – The Origins of the Field
2 – How the Boston AI Ecosystem has Changed in the Last 3 Years
3 – The Advantages of Boston as an AI and Startup Hub3 The Advantages of Boston as an AI and Startup Hub
4 – The Disadvantages of Boston as an AI and Startup Hub
5 – The State of Startup Venture Investment in Boston
6 – Boston vs. San Francisco – A Comparison
7 – Boston as a Hub for AI and Ethics
8 – The Future for AI in Boston

Boston AI & Blockchain Angel & VC Information
Boston Angel Investors: https://angel.co/boston/investors
Boston Venture Capital Investors: https://www.crunchbase.com/hub/boston-
t it l i t # ti iventure-capital-investors#section-overview
Venture Capital and Blockchain Technology in Boston’s Startup Culture:
https://www americaninno com/boston/from the community boston/venturehttps://www.americaninno.com/boston/from-the-community-boston/venture-
capital-and-blockchain-technology-in-bostons-startup-culture/
The 10 Top Funded Artificial Intelligence Startups in Boston:The 10 Top Funded Artificial Intelligence Startups in Boston:
https://www.americaninno.com/boston/the-10-top-funded-artificial-intelligence-
startups-in-boston/

STO (Security Token Offering)?
R f htt // t b /0GVPS08UXhReference: https://youtu.be/0GVPS08UXhc
Asset tokenization is to convert the legal rights to assets with economic
value into a digital token Asset tokenization (security token) representvalue into a digital token. Asset tokenization (security token) represent
shares of ownership in asset.
Potential BenefitsPotential Benefits
For Investors
Fractioned ownership and divisibilityp y
Programmable tokens
24/7 trading
Improved settlement times
For Issuers
New sources of financing without loosing governance on equity
Making illiq id markets liq id (secondar markets)
Making illiquid markets liquid (secondary markets)
Lower costs in transaction and operations

SEC STO Fund Raising Compliance
Regulation Amount Investor Requirement/Manner of Time Cost Transferg q
Offering Limitation
Reg D
506c
unlimited unlimited US
accredited
Form D/no general
solicitation(*)
~ 100
days
$50,000 -
150,000(**)
1 year
investors/up to 35
non-accredited
investors
Reg S unlimited non accredited no required SEC $20 000 1 year forReg S unlimited non-accredited
Offshore Investors
subject to local law
(e.g., restrict
investor in China )
no required SEC
registration/Private
Placement
Memorandum (PPM)
and Subscription
$20,000 -
$50,000
depending
on
complexity
1 year for
resales into
the US/local
law holding
periodinvestor in China ) and Subscription
Agreement
complexity period
•Issuers can advertise their offerings But they do have to verify that anyone who actually invests is an accredited•Issuers can advertise their offerings. But, they do have to verify that anyone who actually invests is an accredited
investor, and investors must prove they are accredited to participate in the offering.
** This includes: (a) preparing all offering documents (b) preparing the purchase agreement for the sale of the
tokens (c) addressing state blue sky laws (d) addressing federal FinCEN money transmission issues (e)
addressing state money transmission issues (each of the 50 states has their own money transmission laws and
some, like New York, have specific laws that apply to virtual currency businesses (f) white paper review (if any).
For (d) and (e), the above estimate does not include any filing and bonding fees.

Launching A STO in the US
Explore asset to be tokenized: real estate, business, technology/intellectual
property
Strategic planning the STO: valuation of asset, amount of capital to raise &
ff i ti f d i i STO tit t t t f lioffering time frame, designing STO entity structure, type of compliance
Legal compliance
Whitelisting of investors who can be approved to invest (KYC/AML)
Targeted marketing to the right potential investors (experienced broker dealerTargeted marketing to the right potential investors (experienced broker dealer
for specific asset to be tokenized
Handling the financial reward (dividend payments/tax reporting)g ( p y p g)
Handling lost private keys (canceling/issuing of tokens & transfer to the new
account)
Implementing data privacy compliance

AI + Blockchain + IoTAI + Blockchain + IoT
T h l CT h l CTechnology ConvergenceTechnology Convergence
IntroductionIntroductionIntroductionIntroduction

AI+Blockchain+IoT Convergence AT A Glance

Patent applications in the USPTO/EPO/IPO during the period of January 1, 2010 -
Convergence Technology Innovation Insights from Patents
Patent applications in the USPTO/EPO/IPO during the period of January 1, 2010
September 30, 2020 in priority date that specifically describe the major
AI+Blockchain+IoT integrated technologies are searched and reviewed. 1,288 published
patent applications that are related to the key AI/Blockchain/IoT technology innovation
l t d f d t il l iare selected for detail analysis.

AI, Blockchain, IoT for Finance AT A Glance

AI, Blockchain, IoT for Healthcare AT A Glance

5G Based AI + Blockchain + IoT Convergence AT A Glance

AI + Blockchain + IoT Convergence Platform Development
IoT+AI+Blockchain Platform: Kubernetes abstracts the AI data processing infrastructure: MLOps
Source: Johnston, Craig. Advanced Platform Development with Kubernetes, Apress.
physical infrastructure of its underlying servers and network.

C S tC S tConvergence SystemConvergence System
Development DemoDevelopment DemoDevelopment DemoDevelopment Demo

AI + Blockchain + IoT Integration System for Digital Health
Source: Blockchain Applications: A Hands-On Approach@A. Bahga & V. Madisetti

Google's Research In Artificial Intelligence Helps In Pre enting Blindness
Automated Diabetic Retinopathy Classification
Google's Research In Artificial Intelligence Helps In Preventing Blindness
Caused by Diabetes
Google Brain has collaborated with doctors in India and US to help them
diagnose DR. The team has collected over 128,000 images that were each
evaluated by 3-7 ophthalmologists from a panel of 54 ophthalmologists. These
images were fed to a deep learning algorithm for creating a model to detect
Diabetic Retinopathy. The predictions from Google Brain’s neural network
algorithm were so close that it is considered to be on par with thealgorithm were so close that it is considered to be on par with the
diagnosis of experienced ophthalmologists.

Big Data Deep Learning Demo for Classification

Medical CBIR System Demo for Diabetic Retinopathy Diagnosis

Medical CBIR System Demo for COVID-19 X-ray Analysis

Blockchain System Demo for Digital Asset Transaction

Decentralized Cloud Storage for Data Center
Distributed storage using commodity HD
Cloud service demo

Blockchain System Demo for Medical Data Sharing

Big Data Deep Learning Demo for Classification
Demo Video Link
g p g
https://www.youtube.com/watch?v=BJ16Q-8Zu8s&feature=youtu.be
Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
https://www youtube com/watch?v=BS tGxIiKwo&feature=youtu behttps://www.youtube.com/watch?v=BS-tGxIiKwo&feature=youtu.be
Medical CBIR System Demo for COVID-19 X-ray Analysis
https://www.youtube.com/watch?v=hHXtibQOK6Q&feature=youtu.bey y
Blockchain System Demo for Digital Asset Transaction
https://www.youtube.com/watch?v=sK_YDOlBI68&feature=youtu.be
Distributed storage using commodity HD
https://www.youtube.com/watch?v=5gLB_qPu-TU&feature=youtu.be
Cloud service demo
https://www.youtube.com/watch?v=fBL0Tc_QS94&feature=youtu.be
https://www.youtube.com/watch?v=uhPaWcUSv10&feature=youtu.be

C S tC S tConvergence SystemConvergence System
forforforfor
Digital New DealDigital New Deal

The Korean New Deal is a 114.1 trillion won ($100 billion) government project
Digital New Deal Introduction
The Korean New Deal is a 114.1 trillion won ($100 billion) government project
over the next five years to prepare the post COVID-19 S. Korean economy for
the future. The Korean New Deal includes the Green New Deal and the Digital
New Deal.
The Digital New Deal is a 58.2 trillion won (($52 billion) project to vitalize S.
Korea's economy by national level industry wide digital transformation based on
d t t k d tifi i l i t lli (DNA) i f t t f b ti 4thdata, network and artificial intelligence (DNA) infrastructure for boosting 4th
industrial revolution in S. Korea and establishment of data-driven value creation
system for digital economy.
Source: 한국판 뉴딜 종합계획
https://www.moef.go.kr/nw/nes/detailNesDtaView.do?searchBbsId=MOSFBBS_000000000028&searchNttId=MO
SF_000000000040637&menuNo=4010100

Digital New Deal Projects

This project is to promote the use and integration of data, the 5G network and
AI (DNA) th h t ll t t t di it l d t d i
Stronger Integration of DNA throughout the Economy
AI (DNA) throughout all sectors to create new digital products and services,
while also enhancing the productivity of the Korean economy:
Forming data ecosystem and reinforcing data usability by creating a “data dam”Forming data ecosystem and reinforcing data usability by creating a data dam
and big data platforms which involves the collection from public and private
sources, utilization, disclosure, integration and distribution of data.
Expanding the integration of 5G and AI into industries which includes smart
mobility, smart factory, smart government.
Advancing cyber security to strengthen protection against cyber threats and to
accelerate.

Thi j t i t l th d k t t th ‘ t t’ i d t b tti
Fostering the Untact Industry
This project is to lay the groundwork to promote the ‘untact’ industry by setting
up relevant infrastructures that are closely related to people’s daily lives.
Building smart healthcare infrastructures:Building smart healthcare infrastructures:
By utilizing digital technology such as 5G and IoT, 18 smart hospitals will be
built to allow real-time monitoring of patients (heart rate, blood-sugar
levels, activities etc.) and diagnosis and treatment.levels, activities etc.) and diagnosis and treatment.
Digitalization of Social Overhead Capital (SOC)
This project is to apply ICT technologies to key SOC infrastructure for safer andThis project is to apply ICT technologies to key SOC infrastructure for safer and
more convenient lifestyles and adding ‘smart’ components to urban spaces,
industrial complexes and logistics systems to strengthen the competitiveness of
relevant industries:
Smart management system for ITS and GIS
Adding digital innovation to urban spaces and industrial complexes
Building a smart logistics and distribution system

AI+Blockchain+IoT Convergence as Catalyst for Digital New Deal
AI+Blockchain+IoT Convergence can act as a catalyst for successful
implementations of key digital new deal projects:
Privacy-preserving secure system for successful data ecosystem
operations & global level personal information protection compliance.
Exploitations of synergies in AI+Blockchain+IoT convergence for value
added implementations of key digital new deal projects.
E i f i b i / k t/i d tExpansion of convergence in business/market/industry.
“First mover” positioning in emerging ICT innovations.

AI+Blockchain+IoT Convergence for Emerging Government Projects

Thank you!Thank you!

AI Blockchain IoT Convergence System Technology & Business Development

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to AI Blockchain IoT Convergence System Technology & Business Development

Similar to AI Blockchain IoT Convergence System Technology & Business Development (20)

More from Alex G. Lee, Ph.D. Esq. CLP

More from Alex G. Lee, Ph.D. Esq. CLP (20)

Recently uploaded

Recently uploaded (20)

AI Blockchain IoT Convergence System Technology & Business Development