AI Blockchain IoT Convergence System Development

AI + Blockchain + IoT
Convergence System
Convergence System
Development
Development
May 13 2020
May 13 2020
May 13, 2020
May 13, 2020
Alex G. Lee
Alex G. Lee
©2021 TechIPm, LLC All Rights Reserved www.techipm.com

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 a
datafied real world (IoT) for insights rapidly (5G) and objectively in a
trusted way using Blockchain for human beings to create economic value.
©2021 TechIPm, LLC All Rights Reserved

AI/Blockchain/
AI/Blockchain/IoT
IoT/Big Data
/Big Data
T h l I ti
T h l I ti
Technology Innovations
Technology Innovations

Artificial Intelligence Revolution
AI Research Trends
Large-scale machine learning
Deep learning
Reinforcement learning
Reinforcement learning
Computer vision
Natural Language Processing
Robotics
Robotics
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 analysis
Co 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 i
Recurrent 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 goal
within a specific context, in order to maximize its performance for a specific goal
Source: Reinforcement Learning in Python by Lazy Programmer Inc.@udemy

Convolution Process Details
1 filter
input
Activation
Activation
3x3 Kernel 15x15 Kernel
+
Pooling
3 filters
2x2 Pooling
Source: https://hackernoon.com/visualizing-parts-of-convolutional-neural-networks-using-keras-and-cats-
5cc01b214e59

AI Innovation Frontline
3D Image Recognition

Top 100 AI Technology Innovation Entities

AI Technology Innovation Entities HQ Landscape

AI Demos: Autonomous Cars
M bil '
Deep Learning Object
Detection Training
Mobileye's
Autonomous Car
Reinforcement Learning
Rewarded Behavior
e a ded e a o

AI Demos: Digital Human/Avatar
AI Avatar by GPT3
Freddie Mercury (Queen) Voice
Emotion AI Chatbot
Deloitte's Digital Human Sophie

AI vs. Human
AI Golfer
AI Golfer AI Profiler

Computer Vision/Healthcare:
AI Application Live Demo
Computer Vision/Healthcare:
Image Classification via Transfer Learning
Similar Image Search
Natural Language Processing/Understanding/Generation:
Hugging Face BERT Sentence Completion/Text Classification/Question
gg g p
Answer
Sentence BERT Movie Recommender
Facebook ParlAI Chatbot
Finance:
Credit Card Fraud Detection
Stock Price Prediction
Stock Price Prediction
Stock Trade Simulation
Financial Statements Analysis

Demo Video Link
AI Application Demos: https://www.youtube.com/watch?v=yoPkP-BZAa8
Artificial Intelligence Applications for Patents Demos:
g pp
https://www.youtube.com/watch?v=kVmHmh0Kbos
AI Applications for ESG Demos: https://www.youtube.com/watch?v=iZB-U0zrzr8

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 Claim
Generated 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 t
an 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

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

Ref. Link: https://www.slideshare.net/alexglee/nvidia-gtc21-ai-conference-
hi hli ht
NVIDIA GTC21 AI Conference Highlights
highlights

Ref. Link: https://www.slideshare.net/alexglee/ai-chatbot-218586351
Vid Li k htt // t b / t h? VF2T 5 t08
AI Chatbot Development
Video Link: https://www.youtube.com/watch?v=VF2Tu5cqt08

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

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

Blockchain Platform: Hyperledger Fabric
©2021 TechIPm, LLC All Rights Reserved source: ChainDigit

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

Top 100 Blockchain Technology Innovation Entities

Blockchain Technology Innovation Entities HQ Landscape

Hyperledger Fabric Development
Video Link 1: https://www.youtube.com/watch?v=tDMwPi2BmVw&t=18s
Video Link 2: https://www.youtube.com/watch?v=c9X5i78kymQ&t=3s
p y y Q
Video Link 3: https://www.youtube.com/watch?v=qrLqQ-ihVOU&t=96s

Hyperledger Fabric Transaction I
source: Building Blockchain Apps using Ethereum & Hyperledger@Udemy
source: ChainDigit

Hyperledger Fabric Transaction II
source: Building Blockchain Apps using Ethereum & Hyperledger@Udemy
source: ChainDigit

Hyperledger Fabric Transaction Deployment
● G ti t k d tifi t
● Generating crypto keys and certificates
● Generating transaction configuration
● Starting the network
● Creating channel
● Creating channel
● Joining peers to the channel
● Installing the chaincode
● Instantiating the chaincode
● Invoking the chaincode
● Q i th l d
● Querying the ledger

International Trade Use Case
R f E t i Bl k h i A D fi iti h db k
Reference: Enterprise Blockchain - A Definitive handbook
https://www.amazon.com/Enterprise-Blockchain-Definitive-Navveen-
Balani-eboo
Exporting goods from seller to buyer and cover the process of creating
Exporting goods from seller to buyer and cover the process of creating
and authorizing LOC (Line Of Credit) and shipment using a smart contract
Parties (organizations):
Free Trade Enterprise (FTE)-registered buyers and sellers
Banking Consortium (BNK)-importer and exporter bank
Shipping and Logistics firm (SHP)
pp g g ( )

International Trade Use Case Smart Contract (Chaincodes)

Food Supply Chain Management Use Case
R f Bl k h i B E l A d l ' id t ti
Reference: Blockchain By Example: A developer's guide to creating
decentralized applications using Bitcoin, Ethereum, and Hyperledger
https://www.amazon.com/dp/B0787CGRHW/ref=dp-kindle-
redirect? encoding=UTF8&btkr=1
redirect?_encoding=UTF8&btkr=1
ORG1: consumer and retailer
ORG1: consumer and retailer
ORG2: logistic and wholesaler
ORG3 manufacturing processor and raw food producer

SCM Use Case Smart Contract (Chaincodes)

Hyperledger Fabric Token Wallet Implementation
Ela Wallet Demo.mp4

Hyperledger Fabric Token Wallet Implementation Demo
Link: https://www.youtube.com/watch?v=-fGJSCsoUgM&list=UUkERuP7J9mW1tY1dgN_PttQ&index=8

Mobile Wallet Token Transaction Implementation
R i t ti /L i A h t i t i il dd d d
Registration/Login: A new has to register using email address and password
from registration screen in mobile app before creating wallet. After registration
user can login using the email and password.
Wallet creation: A registered user can create a wallet on Hyperledger Fabric
token smart contract using the client API from the create wallet screen.
Create wallet screen will be shown to user if user doesn’t have any existing
Create wallet screen will be shown to user if user doesn t have any existing
wallet. User has to set a four digit pin to unlock wallet for sending tokens to
another user.
Sending tokens: User can send token by scanning QR code of other users or
by manually entering the wallet address of user and entering the number of
tokens to send. In order to send token user has to enter correct wallet pin
created during wallet creation.

Mobile Wallet Token Transaction Implementation
B i t k U b it t t bt i El h i t k hi h
Buying tokens: User can submit a request to obtain Elamachain tokens which
can be fulfilled from admin web app. Users buying requests will be visible in the
purchase request screen which can be reached from the third tab of bottom
navbar from the main wallet screen
navbar from the main wallet screen.
Transaction history: User can check its transaction history in main wallet screen
and transaction history screen
and transaction history screen.
Receiving tokens: User can use the wallet address QR code in order to receive
token by getting it scanned from other user.
y g g

Mobile Wallet Token Transaction Demo

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

Token Transactions over Production Grade Network
Six test cases:
1. Opening account: invoke chaincode function for opening an account.
2. Mint tokens: invoke chaincode function for mint new tokens using
d i i t
adminsignature.
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 a
5. Token transaction to a user: invoke chaincode function for sending token to a
user.
6.User transactions: invoke chancode function for user transactions.

Demo Video Link
Token Wallet Prototype for Hyperledger Fabric based Cryptocurrency Payment System:
https://www.youtube.com/watch?v=gCTzjzijQZ8
T k T ti T t f H l d F b i B d P t S t
Token Transaction Test for Hyperledger Fabric Based Payment System:
https://www.youtube.com/watch?v=cxMOMxAsKgY
Cryptocurrency Payment System for E-Commerce Use Case Demo:
yp y y y
https://www.youtube.com/watch?v=eJwFrdiaq9Q&t=9s

Blockchain Innovation Frontline: DID(Self-Sovereign Identity)
publicKey
Verifiable
Credential
Verifiable
Presentation
DID AUTH
DID Document: DID/publicKey
DID 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

Blockchain Innovation Frontline: DeFi
DeFi is an ecosystem of Decentralized Applications that provide financial
e 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: DeFi Prime https://defiprime.com/#defi_projects

DeFi Ecosystem
DEX (margin trading: dYdX; DEX for NFT: Rarible)
DEX (margin trading: dYdX; DEX for NFT: Rarible)
Money Market (flash loans: Aave)
Asset/Fund Management (yield farming: Yearn Finance; DeFi ETF: TokenSets;
DeFi HFT: Hulk.Finance)
Derivatives (synthetic assets: Synthetix)
Insurance (risk management: Nexus Mutual)
Curations (data tokenomics; off-chain asset DeFi)
Source: https://medium.com/@SeanLippel/decentralized-finance-is-a-continuum-179d43c6ef65

Part I Blockchain DeFi New Ecosystem
Data Tokenomics: Filecoin/Ocean Protocol/SingularityDAO
DeFi Reference
Data Tokenomics: Filecoin/Ocean Protocol/SingularityDAO
DeFi for Off-chain Assets: OpenDAO
Video Link: https://www.youtube.com/watch?v=9n2Bn8es3Io
Part II Blockchain DeFi Liquidity Pool & Mining
Bonding Curves for Liquidity Pools/Automated Market Makers/NFT
Bonding Curves for Liquidity Pools/Automated Market Makers/NFT
Constant Function Market Makers
Automatic Asset Allocation and Aggregation for Yield Farming
Video Link: https://www.youtube.com/watch?v=RmcHU5M_YMg
Part III Blockchain DeFi Token
Part III Blockchain DeFi Token
Crypto-Collateralized Stablecoins
Token Engineering/Monetary Policy: Pool token supply & distribution & pricing & incentive
Governance Tokens
Part IV Blockchain System
Blockchain interoperability/scalability/privacy/security
L 1 (Eth /C /P lk d t) & 2 (Pl /ZK ll ) S t /G F R d ti
Layer 1 (Ethereum/Cosmos/Polkadot) & 2 (Plasma/ZK rollups) Systems/Gas Fee Reduction
Money Legos/Composability
Patent Development
Video Link: https://www.youtube.com/watch?v=osvvEktjyBE
Part V Risk Management
Technical Risks: smart code vulnerability/front-running attack
Financial Risks: collateral risk/exploitation of flash loans/impermanent loss
Legal/Regulatory Risks: SEC/FinCEN/FATF/GDPR
Part VI AI Applications
AI for Blockchain System
y
AI & Blockchain for Finance
AI for DeFi Asset Management: yield farming optimization/AI advisor
AI for DeFi Trading: algorithmic trading/arbitration bots
Video Link: https://www.youtube.com/watch?v=0pK96t6fYWs

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 ti
IT 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 and
Internet 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.

Top 100 IoT Technology Innovation Entities

IoT Technology Innovation Entities HQ Landscape

IoT Key Applications

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

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

Big Data Analysis Flow

Big Data Use Cases

Ref https://github com/alexgeunholee/xanadu community
Xanadu Big Data NoSQL DB Functionality
Ref. https://github.com/alexgeunholee/xanadu-community
Xanadu enables competitive big data management in the Clouds or
Enterprises
Enterprises
NoSQL
Database
Any
Types
NoSQL Database
ACID Compliance
High
K
s
&
Size
of
Data
Data De-duplication
Data Replication
Throughput
Low Latency
Data
Access
Massively Scalable Fault Tolerance
Data Store

T h l C
T h l C
Technology Convergence
Technology Convergence
Introduction
Introduction
Introduction
Introduction

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 i
are selected for detail analysis.

AI+Blockchain+IoT Convergence AT A Glance

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.

AI+Blockchain+IoT Convergence Use Case System
Implementation Insights from Patents
1. Blockchain-based Privacy-Preserving Federated Learning System
2 Blockchain based Decentralized IoT & AI Data Marketplace
2. Blockchain-based Decentralized IoT & AI Data Marketplace
3. Blockchain-based Trustworthy AI & IoT Systems
4. Blockchain-based Decentralized Parallel Edge Machine Learning
5. Predictive Maintenance Platform for Industrial Machine using Industrial IoT
g
6. AI+Blockchain System for Car Sharing Service
7. Connected Autonomous Vehicle Communication Management System
8. 5G-based AI+Blockchain+IoT Edge Computing System

AI Blockchain IoT Convergence Insights from Patents:
AI+Blockchain+IoT Convergence Reference
AI, Blockchain, IoT Convergence Insights from Patents:
https://www.slideshare.net/alexglee/ai-blockchain-iot-convergence-insights-
from-patents
AI, Blockchain, IoT Convergence Use Case System Implementation Insights
from Patents: https://www.slideshare.net/alexglee
AI + Blockchain + IoT Convergence System Technology & Business
Development: https://www.youtube.com/watch?v=XXjcNFMlk2Q&t=6735s

C S t
C S t
Convergence System
Convergence System
Development Demo
Development Demo
Development Demo
Development 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 the
algorithm 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 be
https://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.be
y 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 t
C S t
Convergence System
Convergence System
for
for
for
for
Digital New Deal
Digital 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 4th
data, 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 and
This 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 t
Expansion of convergence in business/market/industry.
“First mover” positioning in emerging ICT innovations.

Thank you!
Thank you!

AI Blockchain IoT Convergence System Development

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