More Related Content Similar to AI+Blockchain+IoT Integration Innovation Insights from Patents (20) More from Alex G. Lee, Ph.D. Esq. CLP (20) AI+Blockchain+IoT Integration Innovation Insights from Patents1. 1
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AI+Blockchain+IoT Integration Innovation Insights from Patents
Alex G. Lee1
Patents are a good information resource for obtaining the state of the art of AI+Blockchain+IoT integration
technology innovation insights.
I. AI+Blockchain+IoT Integration Technology Innovation Status
Patents that specifically describe the major AI+Blockchain+IoT integration technology are a good indicator of the
AI+Blockchain+IoT integration innovations in a specific innovation entity. To find the AI+Blockchain+IoT
integration technology innovation status, patent applications in the USPTO as of June 15, 2020 that specifically
describe the major AI+Blockchain+IoT integration technology are searched and reviewed. 64 published patent
applications that are related to the key AI+Blockchain+IoT integration technology innovation are selected for detail
analysis.
Following figure shows the AI+Blockchain+IoT integration patent application landscape with respect to the
innovation entity. As shown in the figure, the key AI+Blockchain+IoT integration innovation entities are LG
Electronics, Milestone Entertainment LLC, IBM, Oracle, Accenture, Amazon, Intel, Microsoft, Cisco, Ford, Honda,
NEC Laboratories America, Qualcomm, Salesforce, Citrix Systems, Visa, and Verizon.
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Alex G. Lee, Ph.D Esq., is a CTO and patent attorney at TechIPm, LLC.
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Following figure shows the AI+Blockchain+IoT integration patent application landscape with respect to the key
integration field. As shown in the figure, AI+IoT integration is the most innovated AI+Blockchain+IoT integration
technology followed by AI+Blockchain, Blockchain+IoT, and AI+Blockchain+IoT.
AI+IoT
48%
AI+Blockchain
34%
Blockchain+IoT
13%
AI+Blockchain+IoT
5%
AI+Blockchain+IoT Integration Landscape
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Following figure shows the AI+Blockchain+IoT integration patent application landscape with respect to the field
of applications. The application areas are Digital Infrastructure, Consumer Electronics, Cybersecurity,
Entertainment/Game, Industrial/Manufacturing, Transportation/Automobile, Banking/Finalcial Transaction,
Supply Chain Management, Agriculture, Government/Public Service, International Trade, Real Estate Marketplace,
and Retail.
Consumer Electronics
29%
Cybersecurity
21%
Entertainment/Game
13%
Industrial/Manufacturing
9%
Transportation/Automobile
8%
Banking/Finalcial Transaction
6%
Supply Chain
Management
4%
Agriculture
2%
Government/Public Service
2%
International Trade
2%
Real Estate Marketplace
2%
Retail
2%
Other
8%
AI+Blockchain+IoT Integration Field of Applications Landscape
5.
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II. AI+Blockchain+IoT Integration Technology Innovation Details
Patent information can provide many valuable insights that can be exploited for developing and implementing new
technologies. Patents can also be exploited to identify new product/service development opportunities.
Blockchain for AI
Blockchain can help AI in several ways: Blockchain provides an open data marketplace for developers looking for
specific types of data for their projects; Blockchain decentralizes the ownership and sharing of data for AI; Data
anonymization of blockchain can help AI to comply with privacy issues and other data use related regulations (e.g.,
GDPR); Blockchain can provide the distributed decentralized computing platform for AI to analyze and leverage
data despite enormous volume and complexity. For example, US20200143242 illustrates a blockchain based data
marketplace for crowdsourced information regarding the crime tips. AI analyzes the crowdsourced information and
evaluates to ensure the validity and integrity of the crime tips provided by users. Cryptocurrency can be used to
provide reward to users for providing timely, valuable, and accurate crime tips.
AI for Blockchain
AI can help blockchain in several ways: AI can monitor the blockchain nodes/network/transactions to detect
potential performance bottleneck/anomaly of blockchain systems and to provide optimize blockchain systems so as
to improve the reliability of blockchain systems; AI can provide the quality assurance and security of smart
contracts. For example, US 20190236598 illustrates a blockchain platform that implements AI models to select
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consensus algorithms to use in committing the transaction based on the specified transaction type. The AI model is
executed as part of the smart contract to process the transaction onto the blockchain.
AI +Blockchain Integration
AI and blockchain can be integrated synergistically to create new economic values/products/services:
AI+blockchain integration can provide a double shield against cyber attacks; AI+blockchain integration can boost
commercial exchanges/transactions in insurance, international trade, real estate transaction and supply chain
management. For example, US 20190236598 illustrates a real estate marketplace platform to offer transparency of
a real estate process to buyers or sellers. A secure blockchain-based ledger structures are generated to facilitate a
secured and traceable real estate process in real estate marketplace. AI can predict future real estate listings.
Blockchan for IoT
By leveraging the blockchain, IoT can enable secure and trust information exchange/sharing between IoT devices
Smart contracts, which models the agreement between the two parties, can be used for automatic, cost-effective,
accelerated transactions between IoT devices. Keeping of an immutable record of the history of smart devices
enables the autonomous functioning of smart devices without the need for centralized authority. US20180284093
illustrates a food supply management system that can provide a food traceability and alert utilizing blockchain with
cryptographic signatures and distributed IoT sensors throughout the supply chain.
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AI +Blockchain+IoT Integration
AI provides the intelligence and IoT delivers the data, while blockchain resolves the trust/security issues for the
distributed AI+IoT system: AI provides a deeper analysis of real-time IoT data streams through Fog/edge
computing to drive intelligent decision making; Blockchain offers a secure data exchange between IoT devices. A
decentralized AI market can be formed from the integration of blockchain, on-device AI and edge computing and
IoT. For example, US20190312869 illustrates an IoT system that can exchange data, where the data transaction
recorded in blockchain. Predictive analytics for data transaction can detect any fraud transaction for providing data
security and protection.