This document discusses AI, blockchain, IoT, and their convergence based on a patent analysis. It finds that IBM, Google, Microsoft, and Samsung are leading innovators in AI, while Alibaba, IBM, and Mastercard lead in blockchain. It also analyzes convergence areas and provides examples of implementation, including:
1. A blockchain-based federated learning system that uses Hyperledger Fabric to privately train machine learning models across devices.
2. A blockchain-based decentralized data marketplace where IoT devices can sell their data to buyers like companies training ML models.
3. Additional examples of convergence systems for applications like predictive maintenance, car sharing services, and 5G edge computing.
AI/Robotics
1. Representation Learning for Natural Language Processing (NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based Robot Control
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management
AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming
Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins
Contents
I. AI, Blockchain, IoT Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Technology Innovation Evolution
3. Technology Innovation Status in Innovation Country
4. Technology Innovation Status in CPC Classification
5. Technology Innovation Status in Specific Technology
A. Deep RL Technology Innovation Status
B. Deep Learning for Autonomous Vehicle Technology Innovation Status
C. Deep Learning for 5G Technology Innovation Status
D. Deep Learning for Cybersecurity Technology Innovation Status
E. Blockchain Privacy Technology Innovation Status
F. Blockchain Interoperability Technology Innovation Status
G. Blockchain DID Technology Innovation Status
H. Blockchain Toknization Technology Innovation Status
II. AI Blockchain IoT Convergence Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Convergence Technology Innovation Status in Convergence Field
3. Convergence Technology Innovation Evolution
4. Technology Innovation Status in Innovation Country
5. Technology Innovation Status in CPC Classification
6. Technology Innovation Status in Specific Application
Privacy-preserving Blockchain-based AI Data/Model Marketplace
Blockchain-based Decentralized Machine Learning Platform
Blockchain-based Secure Telehealth-diagnostic System
Peer-to-Peer Micro-Loan Transaction System
Predictive Maintenance Platform for Industrial Machine using Industrial IoT
Blockchain Augmented IoT System for Dynamic Supply Chain Tracking
Decentralized Energy Management Utilizing Blockchain Technology
Provisioning Edge Devices in Mobile Carrier Network as Compute Nodes in Blockchain Network
Distributed Handoff-related Processing for Wireless Networks
III. Appendix
1. AI Blockchain IoT Convergence AT A Glance
2. AI, Blockchain, IoT for Finance AT A Glance
3. AI, Blockchain, IoT for Healthcare AT A Glance
4. 5G Based AI + Blockchain + IoT Convergence AT A Glance
Fourth Industrial Revolution & Data Economy
AI/Blockchain/IoT/Big Data Introduction
AI/Blockchain/IoT Technology Innovation Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
AI/Blockchain/IoT Technology Innovation vs. Privacy Protection
AI/Blockchain/IoT Business Strategy & BM Development
Startup Strategy
AI + Blockchain + IoT Technology Convergence Introduction
AI + Blockchain + IoT Convergence System Development Demo
AI + Blockchain + IoT Convergence System for Digital New Deal
IoT–smart contracts in data trusted exchange supplied chain based on block ch...IJECEIAES
This document discusses using blockchain technology and smart contracts to enable trusted data exchange in IoT supply chains. Specifically, it proposes a blockchain-based solution to address the lack of trust provided by centralized infrastructure for IoT data exchange. The system would use blockchain to verify transactions in a decentralized manner without an intermediary. Sensor devices using blockchain could publicly record temperature, location, and damage data during shipping to guarantee product quality. Smart contracts on the Ethereum blockchain could then automatically assess the sensor data against product attributes.
This document provides an overview of blockchain, big data, artificial intelligence (AI), and internet of things (IoT) technologies and their integration. It discusses the components and use cases of each technology individually. It then explores how blockchain can be integrated with big data, AI, and IoT to address challenges around data volume, velocity, variety and veracity. The document also introduces Xanadu, a scalable distributed file system, and how it can enable more efficient blockchain + big data + AI + IoT integration through its functionality like deduplication, replication, and high throughput/low latency data access and querying.
Blockchain and IoT convergence has potential benefits across many industries. IBM is working on extending private blockchains to cognitive IoT solutions. Blockchain can improve IoT features and cost efficiency through smart contracts that automatically execute transactions. However, challenges remain regarding technology, business models, legal issues, and developing agreements between many ecosystem actors. Future applications may involve peer-to-peer IoT device interactions using blockchain for security and transactions without centralized authorities.
Patents are a good information resource for obtaining the state of the art of deep learning for digital twin technology innovation insights. Patents that specifically describe the major digital twin technologies/applications are a good indicator of the digital twin technology innovations in a specific innovation entity. To find the digital twin technology innovation status, patent applications in the USPTO as of September 15, 2021 that specifically describe the major technologies/applications in digital twin are searched and reviewed. 190 published patent applications that are related to the key digital twin technology innovation are selected for detail analysis.
Following figure shows the digital twin patent application landscape with respect to the innovation entity. As shown in the figure, the key digital twin innovation entities are General Electric, Siemens, Johnson Controls Technology, IBM, Toyota, CohesionIB, Honeywell, Philips, Rockwell Automation Technologies, and PTC.
Top 10 Trending Technologies To Master In 2021LokeshLusifer
Change is the only constant. This applies to your professional life as well. Upskilling Yourself is needed nowadays, the reason is pretty simple, technology is evolving very quickly? I have listed the top trending technologies which are expected to acquire a huge market in 2021.
2. You can also the link for getting special offers and related article
AI/Robotics
1. Representation Learning for Natural Language Processing (NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based Robot Control
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management
AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming
Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins
Contents
I. AI, Blockchain, IoT Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Technology Innovation Evolution
3. Technology Innovation Status in Innovation Country
4. Technology Innovation Status in CPC Classification
5. Technology Innovation Status in Specific Technology
A. Deep RL Technology Innovation Status
B. Deep Learning for Autonomous Vehicle Technology Innovation Status
C. Deep Learning for 5G Technology Innovation Status
D. Deep Learning for Cybersecurity Technology Innovation Status
E. Blockchain Privacy Technology Innovation Status
F. Blockchain Interoperability Technology Innovation Status
G. Blockchain DID Technology Innovation Status
H. Blockchain Toknization Technology Innovation Status
II. AI Blockchain IoT Convergence Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Convergence Technology Innovation Status in Convergence Field
3. Convergence Technology Innovation Evolution
4. Technology Innovation Status in Innovation Country
5. Technology Innovation Status in CPC Classification
6. Technology Innovation Status in Specific Application
Privacy-preserving Blockchain-based AI Data/Model Marketplace
Blockchain-based Decentralized Machine Learning Platform
Blockchain-based Secure Telehealth-diagnostic System
Peer-to-Peer Micro-Loan Transaction System
Predictive Maintenance Platform for Industrial Machine using Industrial IoT
Blockchain Augmented IoT System for Dynamic Supply Chain Tracking
Decentralized Energy Management Utilizing Blockchain Technology
Provisioning Edge Devices in Mobile Carrier Network as Compute Nodes in Blockchain Network
Distributed Handoff-related Processing for Wireless Networks
III. Appendix
1. AI Blockchain IoT Convergence AT A Glance
2. AI, Blockchain, IoT for Finance AT A Glance
3. AI, Blockchain, IoT for Healthcare AT A Glance
4. 5G Based AI + Blockchain + IoT Convergence AT A Glance
Fourth Industrial Revolution & Data Economy
AI/Blockchain/IoT/Big Data Introduction
AI/Blockchain/IoT Technology Innovation Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
AI/Blockchain/IoT Technology Innovation vs. Privacy Protection
AI/Blockchain/IoT Business Strategy & BM Development
Startup Strategy
AI + Blockchain + IoT Technology Convergence Introduction
AI + Blockchain + IoT Convergence System Development Demo
AI + Blockchain + IoT Convergence System for Digital New Deal
IoT–smart contracts in data trusted exchange supplied chain based on block ch...IJECEIAES
This document discusses using blockchain technology and smart contracts to enable trusted data exchange in IoT supply chains. Specifically, it proposes a blockchain-based solution to address the lack of trust provided by centralized infrastructure for IoT data exchange. The system would use blockchain to verify transactions in a decentralized manner without an intermediary. Sensor devices using blockchain could publicly record temperature, location, and damage data during shipping to guarantee product quality. Smart contracts on the Ethereum blockchain could then automatically assess the sensor data against product attributes.
This document provides an overview of blockchain, big data, artificial intelligence (AI), and internet of things (IoT) technologies and their integration. It discusses the components and use cases of each technology individually. It then explores how blockchain can be integrated with big data, AI, and IoT to address challenges around data volume, velocity, variety and veracity. The document also introduces Xanadu, a scalable distributed file system, and how it can enable more efficient blockchain + big data + AI + IoT integration through its functionality like deduplication, replication, and high throughput/low latency data access and querying.
Blockchain and IoT convergence has potential benefits across many industries. IBM is working on extending private blockchains to cognitive IoT solutions. Blockchain can improve IoT features and cost efficiency through smart contracts that automatically execute transactions. However, challenges remain regarding technology, business models, legal issues, and developing agreements between many ecosystem actors. Future applications may involve peer-to-peer IoT device interactions using blockchain for security and transactions without centralized authorities.
Patents are a good information resource for obtaining the state of the art of deep learning for digital twin technology innovation insights. Patents that specifically describe the major digital twin technologies/applications are a good indicator of the digital twin technology innovations in a specific innovation entity. To find the digital twin technology innovation status, patent applications in the USPTO as of September 15, 2021 that specifically describe the major technologies/applications in digital twin are searched and reviewed. 190 published patent applications that are related to the key digital twin technology innovation are selected for detail analysis.
Following figure shows the digital twin patent application landscape with respect to the innovation entity. As shown in the figure, the key digital twin innovation entities are General Electric, Siemens, Johnson Controls Technology, IBM, Toyota, CohesionIB, Honeywell, Philips, Rockwell Automation Technologies, and PTC.
Top 10 Trending Technologies To Master In 2021LokeshLusifer
Change is the only constant. This applies to your professional life as well. Upskilling Yourself is needed nowadays, the reason is pretty simple, technology is evolving very quickly? I have listed the top trending technologies which are expected to acquire a huge market in 2021.
2. You can also the link for getting special offers and related article
IOT is going to be very big and the fitness, health club and gym industry are no exception. To lead the adoption of IOT requires thoughtful strategy and a clear road map for implementation.
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
2018 was a big year for innovation in emerging technologies and the trend will continue in 2019 with lots of exciting opportunities looking forward for us to grow tremendously. Let us look into technologies that will shake the market up.
IoT Trends to Drive Innovation for Business 2019-2020Takayuki Yamazaki
This document outlines 9 major Internet of Things trends for 2019-2020. It discusses how IoT will be empowered by artificial intelligence, the continued rise of industrial IoT and digital twin technology, and how complex IoT solutions will involve other innovations like blockchain and WebRTC. It also notes that social, legal, and ethical issues around data privacy and security will grow in importance as IoT devices collect more personal data.
Slides about AI and Blockchain Fusion.
Video: https://youtu.be/LWPDsBs-u3Y
Revolution in blockchain and AI. DanKu protocol. OpenMined project. Ethical questions and challenges in the area.
Speaker: Ivan Kukanov
email: ivan@kukanov.com
web: www.kukanov.com
Meetup event: www.meetup.com/BlockChain-Dapps-Technology/events/250085615/?comment_table_id=257038720&comment_table_name=reply
Meetup group: www.meetup.com/BlockChain-Dapps-Technology/
Venue: Microsoft, Singapore
This document contains a presentation about the Internet of Things (IoT) given by Ganesh Ramamoorthy at the Gartner Symposium/ITxpo in Goa, India in November 2016. The presentation discusses key issues around how organizations will use IoT for business innovation, and the technologies and trends that will shape IoT through 2020. It covers topics such as IoT use cases, security challenges, standards, and provides an action plan for CIOs on developing an IoT strategy. The document is confidential and proprietary to Gartner.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
The document discusses M2M (machine-to-machine) communication and the Eclipse M2M Industry Workgroup's efforts to standardize and promote open interoperability in the field. It outlines key trends driving growth in the M2M market, challenges facing development, and the Workgroup's goals of providing open communication protocols, application frameworks, tools, and a developer portal to support an ecosystem of integrated M2M solutions. Use cases illustrate potential applications in vertical markets like logistics, medical services, and more.
There are thirteen technologies growing up quickly.
1) Blockchain
2) 5G Network
3) Autonomous Driving
4) Human Augmentation
5) Distributed Cloud
6) DARQ Age
7) Personal Profiling
8) AI Products
9) Data Policing
10) Momentary Markets
11) Automation
12) Reskilling Human Workforce
13) Medical Upgrade
What we got covered?
1) What Is Industrial IoT
2) Application of Industrial IOT
3) Machine To Machine (M2M)
4) Benefits of Industrial IoT
5) Vendors in Industrial IoT
6) Features of Industrial IoT
Iot–a unique combination of biz ux-tech-sandhi bhide oct29-2014- semi pnw bre...sandhibhide
The document discusses the Internet of Things (IoT) and how it requires new business models, user experiences, and technologies working together. It emphasizes that IoT is about creating new value, not just solving technical problems. Key points include the need for holistic planning considering business, usage and technology factors; developing new user experiences and security approaches with connected devices; and opportunities for new technologies in areas like sensing, analytics, communication and energy harvesting to enable IoT solutions.
The document discusses Accenture's Blockchain Automation Framework (BAF), which aims to address common challenges in blockchain projects. BAF is an open source framework that automates the deployment of production-ready distributed ledger networks. It implements the DLT Reference Architecture 2.0 and is designed for security, multi-cloud support, and infrastructure independence. BAF reduces deployment times from days to hours and allows networks to easily onboard new organizations.
1. Blockchain/Big Data/AI/IoT:
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration Example
180914 테헤란로 런치클럽-블록체인 특허분석을 통한 기술혁신 및 특허개발 전략 (이근호 TechIPm, LLC 대표)StartupAlliance
This document provides an overview of blockchain technology and emerging applications. It discusses blockchain components and reference architecture. It also covers blockchain platforms like Ethereum and Hyperledger. The document outlines various blockchain use cases and emerging technologies like blockchain 3.0. It explores blockchain integration with IoT, AI, big data and 5G. The document also analyzes the blockchain patent landscape and provides insights from patents in different application areas like healthcare, manufacturing and finance. It identifies the top blockchain startups and examines their patenting activities and fundraising. Finally, it offers suggestions for blockchain software patent development strategy and best practices for claim drafting.
We are at the threshold of 4th industry revolution. The economy will be digital. Data will be the most important commodity. The infrastructures to collect, transmit and process data will be the determining factor of the strength of the future economy.
The Internet of Things (IoT) is actively shaping both the industrial and consumer worlds. Smart tech finds its way to every business and consumer domain there is — from retail to healthcare, from finances to logistics — and a missed opportunity strategically employed by a competitor can easily qualify as a long-term failure for companies who don’t innovate.
Check out more articles at- https://insideaiml.com/articles
Two key words for the post COVID-19 pandemic economic recovery will be the ESG (Environmental, Social, and Governance) management and digital transformation acceleration.
It is also expected that three core technologies in the data-centric digital economy - AI, Blockchain, IoT and their convergence - will support a long-term sustainable economic system development.
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. ESG Digital Transformation Innovation Status
III. AI, Blockchain, IoT, and Their Convergence for ESG Digital Innovation Use Case Examples
1. Use Case for Reducing Carbon Footprints (AI + IoT)
2. Use Case for Increasing Renewable Energy Use (AI + Blockchain)
3. Use Case for Waste Management (AI +Blockchain+IoT)
4. Use Case for Workplace/Workforce Management in Social-Human Care (AI+IoT)
5. Use Case for Cybersecurity & Privacy in Social-Business Relationship Management (AI +Blockchain+IoT)
6. Use Case for Corporate Governance (Blockchain)
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.
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
AI for Blockchain
AI +Blockchain Integration
Blockchan for IoT
AI +Blockchain+IoT Integration
IOT is going to be very big and the fitness, health club and gym industry are no exception. To lead the adoption of IOT requires thoughtful strategy and a clear road map for implementation.
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
2018 was a big year for innovation in emerging technologies and the trend will continue in 2019 with lots of exciting opportunities looking forward for us to grow tremendously. Let us look into technologies that will shake the market up.
IoT Trends to Drive Innovation for Business 2019-2020Takayuki Yamazaki
This document outlines 9 major Internet of Things trends for 2019-2020. It discusses how IoT will be empowered by artificial intelligence, the continued rise of industrial IoT and digital twin technology, and how complex IoT solutions will involve other innovations like blockchain and WebRTC. It also notes that social, legal, and ethical issues around data privacy and security will grow in importance as IoT devices collect more personal data.
Slides about AI and Blockchain Fusion.
Video: https://youtu.be/LWPDsBs-u3Y
Revolution in blockchain and AI. DanKu protocol. OpenMined project. Ethical questions and challenges in the area.
Speaker: Ivan Kukanov
email: ivan@kukanov.com
web: www.kukanov.com
Meetup event: www.meetup.com/BlockChain-Dapps-Technology/events/250085615/?comment_table_id=257038720&comment_table_name=reply
Meetup group: www.meetup.com/BlockChain-Dapps-Technology/
Venue: Microsoft, Singapore
This document contains a presentation about the Internet of Things (IoT) given by Ganesh Ramamoorthy at the Gartner Symposium/ITxpo in Goa, India in November 2016. The presentation discusses key issues around how organizations will use IoT for business innovation, and the technologies and trends that will shape IoT through 2020. It covers topics such as IoT use cases, security challenges, standards, and provides an action plan for CIOs on developing an IoT strategy. The document is confidential and proprietary to Gartner.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
The document discusses M2M (machine-to-machine) communication and the Eclipse M2M Industry Workgroup's efforts to standardize and promote open interoperability in the field. It outlines key trends driving growth in the M2M market, challenges facing development, and the Workgroup's goals of providing open communication protocols, application frameworks, tools, and a developer portal to support an ecosystem of integrated M2M solutions. Use cases illustrate potential applications in vertical markets like logistics, medical services, and more.
There are thirteen technologies growing up quickly.
1) Blockchain
2) 5G Network
3) Autonomous Driving
4) Human Augmentation
5) Distributed Cloud
6) DARQ Age
7) Personal Profiling
8) AI Products
9) Data Policing
10) Momentary Markets
11) Automation
12) Reskilling Human Workforce
13) Medical Upgrade
What we got covered?
1) What Is Industrial IoT
2) Application of Industrial IOT
3) Machine To Machine (M2M)
4) Benefits of Industrial IoT
5) Vendors in Industrial IoT
6) Features of Industrial IoT
Iot–a unique combination of biz ux-tech-sandhi bhide oct29-2014- semi pnw bre...sandhibhide
The document discusses the Internet of Things (IoT) and how it requires new business models, user experiences, and technologies working together. It emphasizes that IoT is about creating new value, not just solving technical problems. Key points include the need for holistic planning considering business, usage and technology factors; developing new user experiences and security approaches with connected devices; and opportunities for new technologies in areas like sensing, analytics, communication and energy harvesting to enable IoT solutions.
The document discusses Accenture's Blockchain Automation Framework (BAF), which aims to address common challenges in blockchain projects. BAF is an open source framework that automates the deployment of production-ready distributed ledger networks. It implements the DLT Reference Architecture 2.0 and is designed for security, multi-cloud support, and infrastructure independence. BAF reduces deployment times from days to hours and allows networks to easily onboard new organizations.
1. Blockchain/Big Data/AI/IoT:
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration Example
180914 테헤란로 런치클럽-블록체인 특허분석을 통한 기술혁신 및 특허개발 전략 (이근호 TechIPm, LLC 대표)StartupAlliance
This document provides an overview of blockchain technology and emerging applications. It discusses blockchain components and reference architecture. It also covers blockchain platforms like Ethereum and Hyperledger. The document outlines various blockchain use cases and emerging technologies like blockchain 3.0. It explores blockchain integration with IoT, AI, big data and 5G. The document also analyzes the blockchain patent landscape and provides insights from patents in different application areas like healthcare, manufacturing and finance. It identifies the top blockchain startups and examines their patenting activities and fundraising. Finally, it offers suggestions for blockchain software patent development strategy and best practices for claim drafting.
We are at the threshold of 4th industry revolution. The economy will be digital. Data will be the most important commodity. The infrastructures to collect, transmit and process data will be the determining factor of the strength of the future economy.
The Internet of Things (IoT) is actively shaping both the industrial and consumer worlds. Smart tech finds its way to every business and consumer domain there is — from retail to healthcare, from finances to logistics — and a missed opportunity strategically employed by a competitor can easily qualify as a long-term failure for companies who don’t innovate.
Check out more articles at- https://insideaiml.com/articles
Two key words for the post COVID-19 pandemic economic recovery will be the ESG (Environmental, Social, and Governance) management and digital transformation acceleration.
It is also expected that three core technologies in the data-centric digital economy - AI, Blockchain, IoT and their convergence - will support a long-term sustainable economic system development.
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. ESG Digital Transformation Innovation Status
III. AI, Blockchain, IoT, and Their Convergence for ESG Digital Innovation Use Case Examples
1. Use Case for Reducing Carbon Footprints (AI + IoT)
2. Use Case for Increasing Renewable Energy Use (AI + Blockchain)
3. Use Case for Waste Management (AI +Blockchain+IoT)
4. Use Case for Workplace/Workforce Management in Social-Human Care (AI+IoT)
5. Use Case for Cybersecurity & Privacy in Social-Business Relationship Management (AI +Blockchain+IoT)
6. Use Case for Corporate Governance (Blockchain)
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.
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
AI for Blockchain
AI +Blockchain Integration
Blockchan for IoT
AI +Blockchain+IoT Integration
Indented IoT innovations status:Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that specifically describe some relationships with the IoT in their disclosures.
Specific technologies, products, and services regarding the indented IoT innovations.
Landscape for the issued patents and published applications in the USPTO as of 4Q 2015 that are related to the M2M communication.
Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that are related to the smart home, connected car, and connected health applications.
The document discusses Internet of Things (IoT) innovation and patent activity. It analyzes over 800 patent applications related to intended IoT innovations and finds that Cisco, Samsung Electronics, Qualcomm, and others are key players. It also examines more than 1500 patent applications related to M2M communication technologies that enable IoT connectivity, finding that LG Electronics, Ericsson, Samsung Electronics, and others are leading innovators. Finally, it provides patent analysis for several IoT application areas like smart homes, connected cars, and connected health.
1. New Patent Development Opportunity Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
4. Monetization Exploiting Strategically Packaged Patent Portfolio
5. Development of Strategically Packaged Patent Portfolio Best Practice
6. Methodology for Developing Strategically Packaged Patent Portfolio
Billions of interconnected devices that are connected to the internet in the IoT (Internet of Things) will produce astronomical amount of data to process. The amount of data can easily overload the cloud computing resources at the back-end IT systems. With Fog (or Edge) computing, the problem can be eased by allowing smart devices (e.g., smartphones, PCs, set-top boxes) at the edge of the IoT networks.
Blockchain in IoT and Other Considerations by Dinis GuardaDinis Guarda
Blockchain in IOT And other considerations:
IoT, Business Strategy, Tech, Security and Blockchain as a foundation tech
How to manage IoT / Blockchain for business strategy, technical set up, security, plus blockchain
The natural tech evolution marriage that has yet to properly consummate?
Why IOT products may not live up to their promise and how to overcome these to build successful IoT / Blockchain products.
This document discusses the industrial internet and Internet of Things (IoT), and the business opportunities they present. It provides definitions of these concepts and explains that industrial internet involves systematically applying sensor, communication, and data analysis technologies to improve productivity and create new business. It notes that major industry leaders like Cisco and GE see the industrial internet driving trillions in economic value through increased productivity, optimized asset utilization, and new business models. The document also outlines some of the challenges in realizing this potential, as well as examples of business models and technology solutions that can help companies benefit from the industrial internet.
Tonex offers a 2-day Internet of Things (IoT) training course that provides an overview of IoT concepts, technologies, applications, architecture, security challenges and the growth of connected devices. The course covers topics such as IoT standards, enabling technologies, cloud computing, big data and platforms. Tonex provides customized training solutions for organizations and boasts a 98% student satisfaction rating from its industry-leading instructors.
"Toward Cognitive-IoT Applications -- Integrating AI with Fog Computing" by Dr. Frank C. D. Tsai, Workshop of Mobile IoT with Edge Computing and Artificial Intelligence, sponsored by Ministry of Education, Taiwan
The document introduces OIC (Open Interconnect Consortium) and OIP (Open Internet Platform), two open source platforms for IoT. It provides background on the speaker and discusses the need to move beyond the hype around IoT to realize its full potential. OIC aims to establish interoperability standards while OIP provides an open source platform for building IoT solutions across different domains like smart cities. The speaker invites participation in growing the OIP open source community to develop IoT applications in Vietnam.
The document discusses six key steps that companies should take to secure their Internet of Things (IoT) initiatives and businesses. These include: 1) adopting a comprehensive security framework and strategy; 2) conducting a full audit of current and potential security risks within IoT projects; 3) building security into IoT devices and processes early in development; 4) mobilizing the entire workforce to support IoT security; 5) ensuring partners meet rigorous security standards; and 6) rethinking the role of IT to support security across the business in the context of IoT. Taking these steps with executive support is important to manage the security risks that accompany the large opportunities presented by IoT technologies.
The Internet of Things (IoT) brings tremendous new capabilities .docxjmindy
The Internet of Things (IoT) brings tremendous new capabilities to the net -- but it also brings many new security issues. Watch the following video on securing the Internet of Things:
https://www.youtube.com/watch?v=rZ6xoAtdF3o
Discuss the challenges of securing the IoT. Then, list five or more best practices you would recommend.
Make sure you respond to at least two other learners.
Response#1(Leburu)
Internet of Things (IoT):
The digital space has undergone major changes over the past two years and will continue to evolve, according to industry experts. The last entry in digital space is the Internet of Things (IoT). IoT can also be defined as an interaction between the software, telecommunications and electronic devices industries and promises to offer enormous opportunities for many sectors. With the advent of the Internet of Things (IoT), powered by sensors that will soon be available for billions of dollars, that will work with billions of intelligent systems and cover millions of applications, the Internet of Things will ignite a spark. Launch new consumer and business behaviors requiring increasingly intelligent industrial solutions, which in turn create billions of dollars of opportunities for the IT industry and even more for companies that benefit from the Internet of Things. (Shackelford, S. 2020).
The Internet of Things has three distinct parts: Sensors that collect data (including sensor / device identifier and address), Decision-making and data transfer to decision servers, An application that collects and analyzes this data for greater integration.
Big data analytics and mechanisms can be used to make decisions. Several countries, such as the United States, South Korea and China, have taken the will to exploit the Internet. The main players in IoT initiatives are citizens, governments, and industry. Participation and cooperation of all interested parties at an appropriate time. At this point, we require instructions to link and select key areas, then emphasize the answers to the accumulation, The Internet of Things needs to have a clear strategy and follow a simple goal with the Value-Added and Reduce-cost models. With industry associations, experience in global forums, knowledge of other major IoT countries, and the active participation of global partners, we can promote an approach. More creative based on innovation. The key to the success of the Internet lies in the development of open platforms for scalable, easy-to-use and inexpensive models and citizens, such as sensors. Data should be clearly collected and shared between functions to maximize benefits.
Lack Of Compliance On The Part Of IoT Manufacturers:
New IoT devices come out almost daily, all with undiscovered vulnerabilities. The primary source of most IoT security issues is that manufacturers do not spend enough time and resources on security.
For example, most fitness trackers with Bluetooth remain visible after the first pairing, a smart ref.
Internet of Things is at the top of the Gartner Hype Cyle and scores of entrepreneurs are out building IoT products and solutions. A key question that requires discussion and clarity is – Who will pay for IoT and why? This talk demystifies the novelty of IoT and explains the roles played by various actors in the IoT ecosystem.
Similaire à AI, Blockchain, IoT Convergence Use Case System Implementation Insights from Patents (20)
Intangible assets, which account for up to 90% of a company's value, especially patents, which make up the largest proportion of these assets, are hardly ever utilized for corporate value creation despite their value. In this presentation, I introduce patent management solutions for the development of patents that can contribute to corporate value creation, using the latest digital technologies such as AI, blockchain, and Web 3.0. I also introduce measures to maximize the financial use of patent assets secured through such patent management. In particular, I will look into the domestic and overseas trends of STO (Security Token Offering), which have recently been gaining attention in S. Korea, and learn about strategies and methods for patent asset STO.
The Metaverse x AI x Web3 x Sustainability convergence presents a future vision that transforms how we interact with the digital realm, combining the expansive, immersive qualities of the Metaverse, the advanced computational abilities of AI, the decentralized nature of Web3, and the global imperative of sustainability.
Metaverse and AI Integration: AI technologies shape the Metaverse to be an immersive, interactive, and deeply engaging digital universe. Tools like the Meta AI Builder Bot, Nvidia's GANverse3D/GET3D, and Magic3D create 3D environments and objects, contributing to the Metaverse's realism. Lifelike human avatars, AI-powered digital fashion design, and immersive shopping experiences further enrich user engagement. Additionally, the Metaverse can become a testing ground for AI innovation, enabling developers to leverage its vast data generation and system testing capabilities.
AI and Web3 Integration: AI fortifies the decentralized Web3 ecosystem, creating unique digital assets for Non-Fungible Tokens (NFTs) and potential markets within the Metaverse. Furthermore, AI's capability to automate DeFi processes paves the way for more efficient, accessible financial services in the decentralized digital economy.
Web3 and Metaverse Integration: Blockchain technologies, the backbone of Web3, could be woven into the fabric of the Metaverse, giving rise to novel, decentralized commerce systems. It can enable peer-to-peer transactions and build decentralized marketplaces, providing users with greater control over their economic interactions in the virtual realm.
Metaverse and Sustainability Integration: The Metaverse offers a virtual platform to drive sustainable initiatives, reducing real-world resource consumption. In the Metaverse, renewable energy systems could be simulated and managed, virtual stores could advocate for sustainable products, and virtual factories could optimize sustainable manufacturing processes and supply chains. Furthermore, it could serve as a prototyping platform for sustainable smart cities, providing an efficient way to plan, simulate, and refine before real-world implementation.
To conclude, the convergence of Metaverse, AI, Web3, and Sustainability initiates a transformative movement toward a digital ecosystem that's immersive, intelligent, decentralized, and sustainable. This synergy could redefine digital experiences, promote efficient and fair economic interactions, and support global sustainability goals, signifying a new dawn in our digital evolution.
Tokenization, securitization, and monetization of real-world assets refer to the process of converting traditional assets into digital assets that can be traded, managed, and invested in a new way. Tokenization involves the creation of a digital token that represents ownership or a proof of authenticity of a real-world asset. The token can be traded on blockchain-based platforms, providing a secure and transparent record of ownership and enabling the creation of new markets for these assets. Securitization refers to the process of pooling together a set of assets and creating new securities backed by the underlying assets. In the context of tokenization, securitization involves the creation of asset-backed tokens that represent ownership in a portfolio of assets. Monetization refers to the process of generating revenue from an asset. In the context of tokenization and securitization, monetization can involve selling tokens or securities, licensing assets, or generating income from the underlying assets.
This webinar is designed to explore the tokenization, securitization, and monetization of real-world assets that have the potential to revolutionize the way we trade, manage, and invest in real-world assets, and to create new markets and opportunities for investors and asset owners.
Agenda:
Asset‐Backed Tokens
Security Token Offering (STO)
Securitization of Real-World Assets
NFT & DeFi for Securitization and Monetization of Real-World Assets
Metaverse for Monetization of Real-World Assets
Case Studies: Real Estates, Securities, Intangible Assets
IP Asset Tokenization, Valuation, Monetization: IPwe SIAM Platform
Patent information can be utilized in various ways depending on how it is understood. I have devised a method to extract useful insights for the development of new products or services from patents in specific technology fields by using the analysis and cognition capabilities of GPT-4 based ChatGPT. I have applied this to the fields of generative AI, metaverse, and Web3-based fintech.
For the case study, in the generative AI field, I examined Google's patent US10452978 "Attention-based sequence transduction neural networks" (this patent describes the transformer architecture, which is the basis of most large language models (LLMs) for generative AI); in the metaverse field, I looked at Meta's patent US11302063 "3D conversations in an artificial reality environment"; and in the Web3-based fintech field, I explored nChain's patent US10776761 "Virtual currency system."
I input into ChatGPT a guideline consisting of five key steps: identifying the main purpose of the patent invention, summarizing the technological innovations in the patent claims, describing potential products or services based on the technology, identifying the main industry participants, and evaluating competitive advantages. For more details, please refer to the attached file and evaluate the level of results at your discretion.
The outputs generated from the method described can provide valuable insights for various business applications:
Patent licensing promotion: By identifying the main purpose, technological innovations, and potential products or services related to a patent, businesses can better understand the value proposition of their intellectual property. This information can be used to showcase the benefits of the patented technology to potential licensees, making it more appealing for them to enter into licensing agreements. Thus, you can more effectively promote patent licensing.
Finding potential infringement: Summarizing the technological innovations in the patent claims helps businesses clearly understand the scope of their intellectual property protection. By comparing this information with competing products or services in the market, they can identify potential infringement cases and take appropriate legal actions to protect their intellectual property.
M&A target identification: Evaluating competitive advantages and identifying the main industry participants can help businesses spot potential acquisition targets. Companies with complementary technologies, strong market presence, or unique intellectual property could provide strategic opportunities for growth through mergers and acquisitions.
Product or service market fit: Describing potential products or services based on the patented technology can help businesses identify new opportunities for product development or market expansion. By understanding the potential applications and market demand for a particular technology, businesses can better tailor their offerings to meet customer needs.
The document discusses various applications of artificial intelligence (AI) and how patents related to AI innovations can be utilized commercially and financially. It describes how AI is being used to create virtual environments, 3D objects and models, and human avatars. It then discusses how patents covering AI technologies are important assets that can be used strategically for competitive advantages, partnerships, investment and mergers & acquisitions. The document also introduces IPwe's Smart Intangible Asset Management platform, which uses AI to evaluate patent quality and value, tokenize patents as non-fungible tokens, create a marketplace for monetizing patents, and enable various financial applications of patented technologies like securitization and lending.
Real-World Assets STO + Institutional DeFi Integration
Institutional DeFi refers to tokenize real-world assets with regulatory compliance and institutional-level controls for consumer protection. One of the main benefits of Institutional DeFi is the potential to transform the traditional financial system by making it more transparent, efficient, and accessible while maintaining the necessary safeguards for investor protection and financial stability. This can lead to new products, cost reduction, and faster settlement times for financial institutions.
STO (Security Token Offering) of real-world assets involves the issuance of security tokens that represent ownership of a real-world asset, such as a share of stock, bond, or real estate property. The tokenization and securitization process is carried out by an issuer who follows the necessary regulatory requirements. These security tokens can be listed, distributed, and traded on Institutional DeFi applications to automate various processes such as trading, settlement, and custody. This allows for greater security, efficiency, transparency, and liquidity.
#defi #fundraising #sto #tokenization #nft #securitization #security
Presentation of the Interoperable Metaverse x Web3 Development Webinar
Agenda:
Challenges in Building Interoperable Metaverse
3D Objects/Contents/Avatars/Assets Cross-Metaverse Interoperability
NFT Cross-Chain Interoperability
Interoperability in Metaverse Fashion
Metaverse Interoperability Standards
Speakers
Mikeldi Rodriguez, Metaverse Creative Technologist at Telefónica
"Avatar Interoperability Based On Metadata"
Leo Hilse, Founder at STYLE Protocol
"STYLE Protocol: NFT Inter-Metaverse Interoperability"
Alain Dessureaux, CTO at SpatialPort
"SpatialPort's Interoperable 3D eCommerce Platform"
This webinar is designed to explore the state of the art AI innovation and business applications for the web3 based metaverse development.
Agenda:
AI for Building Metaverse World
AI for 3D Objects/Contents/Avatars Creation
AI for Metaverse Commerce
AI for Metaverse Fashion
AI for NFT
AI for DAO
IP Issues with AI Created Assets
[Reminder] NFT•Web3•Metaverse Global Leaders Roundtable
Thais is a reminder that the NFT•Web3•Metaverse Global Leaders Roundtable will begin in three days on December 1 (Thursday) 2022, 12 pm ET (https://www.linkedin.com/events/nft-web3-metaversegloballeaders6988852388136640513/about/).
This roundtable is a hybrid Zoom + Metaverse event. At the start of the event, all participants will join the Zoom for a scheduled speaker introduction and networking. Those who want to participate in the metaverse event will join after the Zoom event.
Schedule:
12:00 - 12:05 EST "Introduction" Alex G. Lee, CEO & Founder at TechIPm
Part I. Zoom Meeting
12:05 - 12:20 EST “Reviews of NFT•Web3•Metaverse Global Leaders Presentations” Alex G. Lee
12:20 - 13:00 EST Speaker Introduction & Recap”
Matteo Gamberale, Founder & CEO at Zappy
Jens Laugesen, Founder at JENS_LAUGESEN DESIGN ADVISORY & KONsensX
Ofer Rubin, 3D/XR Executive Advisor at RealeyeZ3D
Erich Spangenberg, CEO & Co-Founder at IPwe
Tapan Lala, Founder at ZcureZ
Husam Yaghi, Group VP at Mawarid Media & Communications Group
Alex Bellesia, CEO & Founder at Spatial Port
Nick Cherukuri, CEO & Founder at ThirdEy
Doug Hohulin, Affiliate Faculty at Kansas University School of Nursing
Ruben Sananes, CEO & Founder at IMRSIVE
Se-Joon Chung, CEO & Co-Founder at AForm
James Costa, Founder at Clubhouse Archives
Tom Wallace, Founder at CreatedBy DAO
Aditya Mani, Founder at YOLOgram app
Aline Conus-Moulin, Managing Partner at E-NOTAM Ltd.
Vandana Taxali, Founder & CEO at Artcryption
Alex Di Giovanni, Founding Lawyer at Pando Law
13:00 - 13:15 EST
“Guidance for the Metaverse Event Places " Alex G. Lee
Part II. Metaverse Meeting
At the Metaverse Campus’ Lecture Hall (https://www.challau.com/college/techipm)
13:15 - 13:30 EST "Present and Future of NFT•Web3•Metaverse" Presentation by Doug Hohulin,
At the Metaverse Networking Place (https://www.challau.com/town-square/alex-g--lee)
13:30 - 14:00 EST “Networking with Speakers”
The document discusses the Hyper Connected Fashion Metaverse being developed by FAME UNIVERSE Co., Ltd. It aims to connect the physical and digital fashion worlds by digitizing physical fashion designs and garments for use as NFTs and wearables in virtual spaces. This will help address issues like counterfeiting and give creators new ways to showcase and monetize their work. FAME provides services like transforming physical designs into 3D digital assets and launching crowdfunding campaigns for physical production. Partnerships are in place to expand access to metaverses and marketplaces. The goal is a hybrid online/offline marketplace and ecosystem that nourishes both the physical and digital fashion universes.
The fashion industry represents the estimated global revenues of $1.5T.
The global counterfeiting industry is expected to hit the $4.2T mark by 2022.
References
The fashion industry lost more than $50B in 2020 due to the sale of the counterfeit products:
Clothing appears to be the most counterfeited product followed by cosmetics and personal care, watches and jewelry, handbags and luggage.
The COVID-19 pandemic accelerates the digital transformation globally, and the fashion industry is no exception.
Citi expects the metaverse economy as large as $13T by 2030 and Gartner predicts that , and Gartner predicts that 25% of people will spend at least one hour a day
in the metaverse by 2026.
The creator economy has already exceeded a $100B market size. The NFT
market reaches $1.05T. The wearable NTF market is expected to be $11B in 2022.
Fashion industry lends well to the metaverse where the ecosystem includes metaverse fashion digitalization, metaverse fashion house/brand,
Ph i l f hi h d f hi k l il d h f hi k i d ygitalwear, metaverse fashion show and metaverse fashion marketplace/retail, and the metaverse fashion market is expected to increase
up to $55B by 2030.
As sustainability became the mainstream business the anti , the anti-sustainability and anti-circularity nature of the fashion business place
the sustainability as the top priority agenda in the fashion business practices.
Fashion digitalization and the metaverse fashion can be a potential solution for mitigating the anti-sustainability and anti-circularity nature
TechIPm, LLC
of the fashion business.
Gen Z and Gen Alpha become the future big spenders and sustainability advocates in fashion.
Schedule
12:00 - 12:10 EST
"Introduction" Alex G. Lee, CEO & Founder at TechIPm
12:10 - 12:25 EST
“JENS LAUGESEN X META\SENS Digital Collaboration in London Fashion Week” Jens Laugesen, Founder at JENS_LAUGESEN DESIGN ADVISORY
12:25 - 12:40 EST
"Ecoolska: Phygital Sustainable Fashion Brand" Olska Green, Founder at Ecoolska
12:40 - 12:55 EST
"WEARSPACES: Dress like a game-changer in Metaverse & IRL" Julien Chmilewsky, Co-Founder at WEARSPACES
12:55 - 13:10 EST
"Innovation in Fashion Brands Metaverse Shopping Experiences" Ruben Sananes, CEO & Founder at IMRSIVE
13:10 - 13:25 EST
"NEOMODEST: Inclusive, Accessible, Decentralized Metaverse Fashion" Afroja K, Founder at NEOMODEST
13:25 - 13:40 EST
"XTENDED iDENTiTY: The Experiential Digital Fashion Lab" Xing Yunjia, Co-Founder at XTENDED iDENTiTY
13:40 - 13:55 EST
“GAD (Garment Automated Digitisation)” Pietro Dalpane, CEO & Co-Founder at DeepGears
13:55 - 14:10 EST
"Fostering Interoperable Digital Fashion Through Graphics Technology" Se-Joon Chung, CEO & Co-Founder at AForm
14:10 - 14:25 EST Coffee Break
14:25 - 14:40 EST
“3D Garment Creation to Simulation - Connecting Digital Fashion with Digital Human” Kenneth Ryu, CSO at z-emotion
14:40 - 14:55 EST
"A Luxury Fashion Brand & Web3 Marketplace" James Costa, Founder at Clubhouse Archives
14:55 - 15:10 EST
"Marketing Digital Fashion with Avatar Generated Content" Diego Rios, Founder at Animalz
15:10 - 15:25 EST
"CreatedBy DAO: A Phygital NFT Ecosystem" Tom Wallace, Founder at CreatedBy DAO
15:25 - 15:40 EST
"MaisonDAO: Decentralized Digital Fashion Brand and ArtTech Collective" Elena Nazaroff, Co-Founder at MaisonDAO
15:40 - 16:05 EST
"Browzwear Innovative 3D Digital Fashion Solution" Afsha Iragorri, 3D Fashion Designer at 3D Fashion Solutions
16:05 - 16:20 EST
“Innovative 3D Digital Fashion Design” Olesya Pupchenko, Director at Global Rise Group
Agenda
Metaverse Fashion Design
Interoperable Metaverse Fashion
NFTs for Metaverse Fashion
Web3 for Metaverse Fashion
Metaverse Fashion Commerce
NFT financialization refers to bringing NFTs closer to financial use, mostly, by making NFT useful in DeFi protocols. NFT financialization is the most important element of NFT monetization innovation to overcome the low liquidity and high price volatility of almost all NFTs currently.
NFT Fractionalization splits a NFT into smaller fungible tokens that represent partial ownership of the NFT. The NFT is locked in a smart contract and the ownership remains with the original holder. Fractionalization can unlock liquidity for NFT owners and cheapens access to valuable NFTs, and improves the NFT market spectrum. An issue with fractionalization is a reconstitution after ractionalization. Buyout auctions alleviate the reconstitution problem to some extent.
*NFT fractionalization protocols: NFTX (https://nftx.io/), Fractional (https://fractional.art/), NFT20 (https://nft20.io/), Unic.ly (https://www.unic.ly/), Szns (https://www.szns.io/)
NFT Lending uses NFT as collateral for loans. In peer-to-peer lending, borrowers and lenders manually negotiate and come to an agreement for loan terms such as duration, interest rates and loan-to-value ratios in a peer-to-peer fashion. This lending enables a customizable loan terms without a need to rely on price oracles. Because the matching process is manual time-to-liquidity may be slow. In peer-to-pool lending, liquidity providers fungible tokens into pools and borrowers take up loans from these pools instantaneously. Borrowers should put up their NFTs as collateral by locking them in smart contracts (digital vaults). This lending, however, must rely on price oracles to automate loan terms.
*Peer-to-peer NFT lending protocols: NFTfi(https://www.nftfi.com/), Arcad (https://www.arcade.xyz/), MetaStreet (https://metastreet.xyz/)
*Peer-to-pool NFT lending protocols: Bridgesplit (https://www.bridgesplit.com/), BendDAO (https://www.benddao.xyz/en/, PINE (https://pine.loans/), JPEG’d (https://jpegd.io/)
NFT Rental market is where NFT owners can rent out their NFTs to receive income and renters can rent NFTs to use but without owning them. In collateral renting, renter has to put up collateral to rent the NFT to use (e.g., reNFT (https://www.renft.io/). Collateral-free renting separates ownership and utility of an NFT (e.g., IQ Protocol (https://iq.space/#top).
NFT Price Discovery uses AMMs (Automated Market Makers)/bonding curves for an automatic price discovery in DeFi exchange liquidity pools (e.g., Uniswap and Sushiswap).
*NFT Price Discovery protocols: Sudoswap (https://sudoswap.xyz/#/), Pilgrim (https://pilgrim.money/), Rootswap (https://rootswap.xyz/)
I. Metaverse Digital RevolutionMetaverse Revolution ImperativesMetaverse Present and Future InfographicsMetaverse Industry ApplicationsII. Metaverse Technology InnovationWhy Metaverse Now?Meta Metaverse XR Device PrototypesApple Metaverse XR Device Insights from PatentsRoblox Metaverse Game Platform Innovation Insights from PatentsDigital Twin Innovation Insights from PatentsMetaverse Patents Development Boom3D Metaverse Space Development: 3D Rendering 3D Metaverse Space Development: 2D to 3D Translation 3D Metaverse Object Development: 2D to 3D ConversionInteractive Experience Design: Multi-Sensory PerceptionVirtual Product Development: NFT Digital AssetsMeatavere Application Development: Retail ShoppingMeatavere Application Development: Automotive ShowroomMeatavere Application Development: TourMeatavere Application Development: MeetingMeatavere Application Development: Smart FactoryMetaverse Enterprise PlatformMetaverse Enterprise Platform System Components
III. Metaverse Business Development: Metaverse BM & InvestmentExperience EconomyMetaverse User Experiences (MUXs)Metaverse BM Innovation for New Experience EconomyMetaverse Angel/VC Investors IV. Metaverse Economic SystemNFT Functions and Legal Status NFT + DeFi ConvergenceMetaverse Economic System ComponentsMetaverse Economic System ArchitectureV. Metaverse + ESG ConvergenceESG/Sustainability ImperativeMetaverse Renewable Energy System ManagementMetaverse Factory for Sustainable Manufacturing/Supply ChainMetaverse for Sustainable Smart City Development Metaverse NFT/DeFi Based Sustainable FinancingDesigning Sustainable Metaverse Experiences (SMXs)Metaverse Impact on EnvironmentMetaverse Impact on People/Society
This webinar is designed to explore the innovative NFT monetization through the convergence of NFT securitization and DeFi.
Agenda
Reviews of NFT Monetization
NFT Valuation
NFT IP Licensing
NFT + DeFi Convergence: MetaFi, GameFi, DAOFi, ...
NFT Securitization Development
Legal Challenges of NFT Securitization
NFT Securitization Use Cases
NFT Securitization + DeFi Convergence
Schedule:
12:00 – 12:15 ET, Alex G. Lee
"Introduction & Overview"
12:15 – 12:30 ET, Ted Kim
"XBRIK: NFT Securitization & Brick Exchange & IBO DeFi Platform"
12:30 – 12:45 ET, Aditya Mani
"In-app monetization of NFTs for Style"
12:45 – 13:00 ET, Aline Conus-Moulin
"NFT Valuation: Challenges & Solutions"
13:00 – 13:15 ET, Yael Tamar
"NFTs in Real Estate"
13:15 – 13:30 ET, Vandana Taxali
"NFT IP Rights Licensing: Deep Dive"
13:30 – 13:45 ET, Joshua Hale
"NFTDAOs not spelled S A F E: Why the most interesting things you can do in crypto can land you in hot water!"
13:45 – 14:00 ET, Alex G. Lee
(Optional) Q&A/Discussion
The document discusses an upcoming seminar on using NFTs to generate revenue through metaverse and web3 applications. The seminar will have a basic session covering the fundamentals of metaverse, web3 and NFTs, and an advanced session covering key aspects of NFT valuation and monetization strategies. It also lists some reference materials on NFTs, metaverse and web3.
This webinar is designed to explore the current status of the NFT ecosystem and monetization potentials exploiting the web3 based metaverse. If you are a tech-savvy IP legal professional, you will be interested in legal challenges and opportunities with the NFT/Web3/Metaverse/Cryptocurrency.
Please join on September 22 (Thu) at 12:00 ET to learn from legal experts in NFT, Web3, Metaverse, Tokenization, Intellectual Property:
"NFT IP Rights: Monetization Opportunities & Legal Challenges" from Vandana Taxali, Founder & CEO at Artcryption
"Legal Challenges of Web3 Gaming Studios and Platforms" from Andrew Cripps, Founder at MetaCounsel
Agenda:
Utility NFT for Metaverse Monetization
NFT for Customer Loyalty Program 3.0
NFT for X2E (Play-to-Earn, Wear-to-Earn, ...)
NFT Interoperability
NFT Valuation
NFT for Web2/Legacy to Web3/Metaverse Business Transition
NFT for Creator/Experience Tokenomics
NFT based Monetization for Metaverse Fashion & Other Industries
NFT for Monetizing IP Portfolio Development (NFT IP Securitization)
NFT IP Rights Legal Issues
NFT + DeFi Convergence: MetaFi, GameFi, DAOFi, ...
NFT for Physical + Virtual Convergence Economy/Commerce
Future of NFT: Composable NFT, Dynamic NFT, Consumable NFT, ...
Other speakers/topics:
"The Future of NFT" from Mohamed Hafiz, Advisor at First Abu Dhabi Bank
"NFT based Monetization for Metaverse Fashion & Other Industries" from Nova Lorraine, Director at Raine Drops NFT Art House
"Phygital Fashion with NFTs" from Fahmid Uddin, Founder at M3RCH.xyz
"Interoperable NFTs for GenZ: Gaming and Fashion" from Matteo Gamberale, Founder & CEO at Zappy
"NFT for Web2/Legacy to Web3/Metaverse Business Transition" from Gianfranco Lopane, President at Smarterverse
"Your Digital DNA & NFT: Monetization of Digital Identity in the Metaverse" from Kelvin Troy, CEO at Cross-Metaverse Avatars LLC
Fame Universe (https://fameuniverse.xyz/) is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.” Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Patent pending Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem. Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively. Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
Fame Fashion NFT Monetization Platform
Patent pending Fame fashion NFT monetization platform (FameFiTM) is a core element of the fame platform.
FameFiTM is designed to provide most innovative fashion monetization solution that can maximize opportunities and resolve many challenges in fashion NFT monetization.
FameFiTM is designed to employ various innovative monetization methods including fashion IP NFT licensing, securitization and NFTFi for maximizing monetary rewards to the Fame ecosystem/community members and for enabling financially sustainable Fame metaverse fashion ecosystem development.
FameFiTM is designed to resolve many legal issues in fashion NFT monetization and overcome several huddles in the fashion NFT valuation.
FameFiTM is designed to innovate the fashion NFT value creation through NFT scarcity, utility and sustainable tokenomics development.
C: The metaverse is designed to give like-minded communities of common interests digital sandboxes to play, earn, own, and socialize.
U: The decentralized economy is user controlled, not centrally governed.
T: The metaverse experience is possible through Web 3.0 technology, such as blockchain, 5G networks, VR, AR, and cloud computing.
E: Experiences and interactions give NFTs greater utility, which drives greater value.
R: A connection to the real world gives the metaverse value beyond entertainment as it augments real-world experiences and offers the potential for real financial gains as well.
Fame Universe (https://fameuniverse.xyz/)
Fame is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.”
Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem.
Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively.
Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
Fame Platform Design
Fame platform is designed to provide a simple way of embracing digital/web3 fashion business for legacy/web2 fashion business.
Fame platform is designed to provide a community building solution that the ecosystem players and stakeholders can participate with self-sovereignty and consensus.
Fame platform is designed to employ various innovative monetization methods for increasing market scalability.
Fame platform is designed to be modular considering current technology limitations and emerging technology expectations.
Fame platform is designed to resolve fashion’s inherent sustainability/circularity issues.
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women MagazineCIOWomenMagazine
In this article, we will dive into the extraordinary life of Ellen Burstyn, where the curtains rise on a story that's far more attractive than any script.
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
The Steadfast and Reliable Bull: Taurus Zodiac Signmy Pandit
Explore the steadfast and reliable nature of the Taurus Zodiac Sign. Discover the personality traits, key dates, and horoscope insights that define the determined and practical Taurus, and learn how their grounded nature makes them the anchor of the zodiac.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
Discover innovative uses of Revit in urban planning and design, enhancing city landscapes with advanced architectural solutions. Understand how architectural firms are using Revit to transform how processes and outcomes within urban planning and design fields look. They are supplementing work and putting in value through speed and imagination that the architects and planners are placing into composing progressive urban areas that are not only colorful but also pragmatic.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
HR search is critical to a company's success because it ensures the correct people are in place. HR search integrates workforce capabilities with company goals by painstakingly identifying, screening, and employing qualified candidates, supporting innovation, productivity, and growth. Efficient talent acquisition improves teamwork while encouraging collaboration. Also, it reduces turnover, saves money, and ensures consistency. Furthermore, HR search discovers and develops leadership potential, resulting in a strong pipeline of future leaders. Finally, this strategic approach to recruitment enables businesses to respond to market changes, beat competitors, and achieve long-term success.
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.