AI+Blockchain+IoT Integration Innovation Insights from Patents
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The document analyzes the state of innovation in AI, blockchain, and IoT integration through a review of 64 relevant patent applications as of June 2020. It highlights key innovation entities such as LG Electronics, IBM, and Amazon, and presents findings on application areas, revealing a strong focus on consumer electronics and cybersecurity. Additionally, it discusses the symbiotic relationship between AI, blockchain, and IoT, explaining how they can enhance security, improve data management, and facilitate new economic opportunities.
AI+Blockchain+IoT Integration Innovation Insights from Patents
- 1. 1 ©2020 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 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. 1 Alex G. Lee, Ph.D Esq., is a CTO and patent attorney at TechIPm, LLC.
- 3. 3 ©2020 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 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
- 4. 4 ©2020 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 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. © A e i d t ©2020 TechIPm, A patent coun evolution of t integration tec date (priority the AI+Block LLC All Rights Re nting for grow echnology inn chnology inno year) and the kchain+IoT int 1 1 2 2 NumberofPatentApplications eserved http://ww wth in patentin novation. Foll ovation growt publication d tegration tech 0 5 0 5 0 5 2016 ww.techipm.com ng over a perio lowing patent th trends. Sinc date by around hnology innov 2017 2018 Priority Yea / od of times ca t application a ce there is usu d two years, th vation activity 2018 2019 ar an be a good m activity chart ually a time la he patent app y is in a growt AI+ measuring too shows the AI+ ag between th lication activi th stage. +BC+IoT Patent Appl ol for monitor +Blockchain+ he initial appli ity chart indic lications 5 ring the +IoT cation cates that
- 6. 6 ©2020 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 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
- 7. 7 ©2020 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 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.
- 8. 8 ©2020 TechIPm, LLC All Rights Reserved http://www.techipm.com/ 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.