Digital Twin Innovation Insights from Patents
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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.
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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
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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)
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AI, Blockchain, IoT Convergence Use Case System Implementation Insights from ...Alex G. Lee, Ph.D. Esq. CLP
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.More Related Content
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1) The scope of IoT projects is often underestimated as new stakeholders are added and the definition of success changes over time. Aggressive phasing and clear communications are needed.
2) User experience is critical and must be considered from the perspective of how different users will consume the data and insights.
3) Data and analytics skills are important as the value is in analyzing and using the data to make decisions, which requires addressing data quality, privacy, management and distribution challenges.
4) Maturity in analytics across the organization dictates value and requires
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Metaverse based ESG Digital Transformation for Accelerating Sustainability We...
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IoT Startups Innovation Insights from Patents: Part I. Quantitative Analysis
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IDC FutureScape : Worldwide Internet of Things 2017 Predictions.
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Similar to Digital Twin Innovation Insights from Patents
AI Blockchain IoT Convergence for ESG Digital Transformation Insights from Pa...
AI Blockchain IoT Convergence for ESG Digital Transformation Insights from Pa...Alex G. Lee, Ph.D. Esq. CLP
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)AI, Blockchain, IoT Convergence Use Case System Implementation Insights from ...
AI, Blockchain, IoT Convergence Use Case System Implementation Insights from ...Alex G. Lee, Ph.D. Esq. CLP
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, Blockchain, IoT Convergence Insights from Patents
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
AI+Blockchain+IoT Integration Innovation Insights from Patents
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
The Most Definitive guide to Industrial IoT Implementation
Industrial IoT has the potential of USD 15.3 trillion to the global economy by 2030 subjected to an improvement of 1-1.5%. Industrial Internet is a revolutionary technology that enhances the Industrial environment with the IoT capabilities. IIoT helps to solve the bottlenecks in the business environment, provides operational efficiency, increases productivity and reduces the complexity of the process.
The main benefit of Industrial IoT is the connected enterprise that enhances the visibility across various departments and benefits with a smooth workflow. According to General Electric CEO, Jeff Immelt, IIoT has twice the market potential than that of the consumer IoT.
In this Guide you will know everything about
a) The Connected Factory! Role of IIoT
b) Evolution of IIoT to Industry 4.0
c) Industrial IoT Ecosystem
d) Value Chain Players today and what you can learn from them
e) How IIoT is Different from IoT
f) Technology Drivers and Adoption
g) Market Indicators and why you should jump the Bandwagon NOW!
h) Market Revenues and Areas of Focus
i) The Digitization Wave
j) Real World Industrial IoT Case Studies Including Solutions & Outcomes
Internet of Things (IoT) Strategic Patent Development and Monetization for Ne...
Internet of Things (IoT) Strategic Patent Development and Monetization for Ne...Alex G. Lee, Ph.D. Esq. CLP
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
Internet of Things (IoT) Strategic Patent Development 1Q 2016
1. New Patent Development Opportunity Analysis
White Space Analysis
Scenarios Analysis
Cross-competitor Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
Internet of Things (IoT) Patent Landscape and Innovation Leadership 4Q 2015
Internet of Things (IoT) Patent Landscape and Innovation Leadership 4Q 2015Alex G. Lee, Ph.D. Esq. CLP
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.Internet of Things (IoT) Patent Landscape and Innovation Leadership 4Q 2015
Internet of Things (IoT) Patent Landscape and Innovation Leadership 4Q 2015Alex G. Lee, Ph.D. Esq. CLP
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.2015 11-03 - ibm overview for electronics manufacturing services thorsten sch...
Thorsten Schroeer discusses trends in the electronics industry including the shift from products to IoT sensor-driven services. He notes that the Internet of Things will create new markets for connected physical devices as the Internet did for the digital world. Schroeer highlights opportunities for analytics to improve manufacturing operations through applications like predictive maintenance, quality control, and inventory optimization. He demonstrates IBM's cloud-based Bluemix platform for developing IoT and analytics solutions and concludes by emphasizing the disruptive potential of technologies like cognitive computing and 3D printing.
EB corbos and the L4Re microhypervisor: Open-source automotive safety
This is the slide deck for a talk at Linaro Connect 2018 in Vancouver.
In the talk we show a reference architecture and implementation using open source components, L4Re hypervisor and the Adaptive AUTOSAR solution from Elektrobit
Industrial engineering 4.0
This document discusses Industry 4.0, which refers to the current trend of increased automation and data exchange in manufacturing technologies using cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It is considered the fourth industrial revolution. The document provides an overview of the four industrial revolutions from the introduction of steam power in Industry 1.0 to the increased automation using sensors and machine learning in Industry 4.0 today. It also discusses key aspects of Industry 4.0 like cyber-physical systems, the internet of things, benefits and examples of IIoT (industrial internet of things) systems.
Middle East IoT Workshop
IoT is a critical enabler for going digital. Like other domains, getting the basics right is critical to make a thriving IoT ecosystem. I did this workshop in Middle East to educate the audience (from public and private sector) on the three essential enablers for building a trustworthy foundation for IoT projects: reliable connectivity, a robust security framework and an agile monetization environment. Data generated by IoT endpoints may very well be the oil, but it requires these three key enablers to make it all work!
Internet of Things (IoT) Strategic Patent Development 4Q 2015
1. New Patent Development Opportunity Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
The Internet of Things in Massachusetts Event Photos of Technology State Hous...
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The document discusses an upcoming event called "Technology State House Day" about the Internet of Things (IoT) in Massachusetts. The event will feature demonstrations of IoT technologies from local companies and discussions on applying IoT in areas like healthcare, government, and more. It also describes consulting services from TechIPm related to IoT patent strategy, evaluation, acquisition, and licensing.OT - How IoT will Impact Future B2B and Global Supply Chains - SS14
This presentation was originally given at an EDIFICE plenary in Brussels in May 2014. EDIFICE is a European based industry association driving B2B standards across the high tech industry. The presentation discussed digital disruption and how the Internet of Things is likely to impact future design of B2B platforms and global supply chains. - Updated March 2015
e-Manufacturing; before and after
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The 10 Biggest Future Trends In Manufacturing
The manufacturing industry is currently undergoing one of the biggest transformations ever. The 4th Industrial revolution is bringing transformative technologies such as artificial intelligence, digital twins, 5D, smart coworking robots, web3, the industrial Internet of Things, and additive manufacturing. Here we look at the ten key future trends in manufacturing.
DII p1
This presentation outlines our vision on the D-Reader, the product our company develops. The product is focused on automated understanding of engineering drawings.
Ey semiconductor-supplies-hitting-vehicle-sales
How Supply Chain challenges can be effectively managed through Digital Technology & Solutions for planning
URL:- https://assets.ey.com/content/dam/ey-sites/ey-com/en_in/news/2021/03/ey-semiconductor-supplies-hitting-vehicle-sales.pdf
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Internet of Things (IoT) Patent Landscape and Innovation Leadership 4Q 2015
Internet of Things (IoT) Patent Landscape and Innovation Leadership 4Q 2015
2015 11-03 - ibm overview for electronics manufacturing services thorsten sch...
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EB corbos and the L4Re microhypervisor: Open-source automotive safety
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More from Alex G. Lee, Ph.D. Esq. CLP
[Presentation] Webinar on Patent Management and Patent Asset STO in the ChatG...
[Presentation] Webinar on Patent Management and Patent Asset STO in the ChatG...Alex G. Lee, Ph.D. Esq. CLP
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.
Metaverse x AI x Web3 x Sustainability Convergence
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, Monetization of Real-World Assets
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
Maximizing Innovation through ChatGPT Powered Patent Analysis
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.
Maximizing AI Business Value Creation Utilizing Patents
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
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
Metaverse x Web3 Interoperability Overview
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"
AI for Metaverse x Web3 Overview
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
NFT Web3 Metaverse Global Leaders Roundtable
[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”
Fame Universe Introduction
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.
Metaverse Fashion Overview
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.
Global Metaverse Fashion Innovators Roadshow
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 Overview
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/)
Metaverse & Web3 Technology Innovation & Business Development
I. Metaverse Digital Revolution Metaverse Revolution Imperatives Metaverse Present and Future Infographics Metaverse Industry Applications II. Metaverse Technology Innovation Why Metaverse Now? Meta Metaverse XR Device Prototypes Apple Metaverse XR Device Insights from Patents Roblox Metaverse Game Platform Innovation Insights from Patents Digital Twin Innovation Insights from Patents Metaverse Patents Development Boom 3D Metaverse Space Development: 3D Rendering 3D Metaverse Space Development: 2D to 3D Translation 3D Metaverse Object Development: 2D to 3D Conversion Interactive Experience Design: Multi-Sensory Perception Virtual Product Development: NFT Digital Assets Meatavere Application Development: Retail Shopping Meatavere Application Development: Automotive Showroom Meatavere Application Development: Tour Meatavere Application Development: Meeting Meatavere Application Development: Smart Factory Metaverse Enterprise Platform Metaverse Enterprise Platform System Components
III. Metaverse Business Development: Metaverse BM & Investment Experience Economy Metaverse User Experiences (MUXs) Metaverse BM Innovation for New Experience Economy Metaverse Angel/VC Investors IV. Metaverse Economic System NFT Functions and Legal Status NFT + DeFi Convergence Metaverse Economic System Components Metaverse Economic System Architecture V. Metaverse + ESG Convergence ESG/Sustainability Imperative Metaverse Renewable Energy System Management Metaverse Factory for Sustainable Manufacturing/Supply Chain Metaverse for Sustainable Smart City Development Metaverse NFT/DeFi Based Sustainable Financing Designing Sustainable Metaverse Experiences (SMXs) Metaverse Impact on Environment Metaverse Impact on People/Society
NFT Monetization Innovation Webinar
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"
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"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
웹3.0기반 메타버스 응용을 위한 NFT 가치개발과 가치평가 특강
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.
NFT for Web3 Based Metaverse Monetization Webinar.pdf
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 Fashion NFT Monetization Platform Introduction
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.
NAVIGATING THE METAVERSE (Wiley) One Page Book Summary
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 Introduction
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.
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- 1. 1 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Digital Twin Innovation Insights from Patents Alex G. Lee1 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. 1 Alex G. Lee, Ph.D Esq., is a principal consultant and patent attorney at TechIPm, LLC.
- 3. 3 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Following figure shows the digital twin patent application landscape with respect to the key technology innovation field. As shown in the figure, Industrial Asset Management is the most innovated digital twin technology followed by Digital Twin Management, Building Management System (BMS), Human Digital Twin, Transportation/Vehicular Applications, Augmented Reality (AR) Applications, Equipment/Tool/Machine Management, Industrial Automation/Process Control System, Automated Manufacturing/Assembly System, Product Digital Twin, Additive Manufacturing Applications, Computing Facility Management, Cyber Security Applications, Built Infrastructure Model (BIM), Cyber-Physical System Management, Medical, Equipment Management, Physical Environment Digital Twin, Robot Control System, Supply Chain Process Flow Management, Virtual Computing Device/Infrastructure, Electric Power System Management, Commissioning Management System, Construction Project Management, Flight Management System (FMS), Industrial Production Process Management, Monitoring System Applications, Power-Thermal Management System (PTMS), and Virtual AI Development Environment.
- 4. 4 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Industrial Asset Management 18% Digital Twin Management 15% Building Management System (BMS) 14% Human Digital Twin 9% Transportation/Vehicular Applications 7% Augmented Reality (AR) Applications 5% Equipment/Tool/Machine Management 5% Industrial Automation/Process Control System 4% Automated Manufacturing/Assembly System 3% Product Digital Twin 3% Additive Manufacturing Applications 2% Computing Facility Management 2% Cyber Security Applications 2% Built Infrastructure Model (BIM) 1% Cyber‐Physical System Management 1% Medical Equipment Management 1% Physical Environment Digital Twin 1% Robot Control System 1% Supply Chain Process Flow Management 1% Virtual Computing Device/Infrastructure 1% Electric Power System Management 1% Commissioning Management System 1% Construction Project Management 1% Flight Management System (FMS) 1% Industrial Production Process Management 1% Monitoring System Applications 1% Power‐Thermal Management System (PTMS) 1% Virtual AI Development Environment 1% Other 7% Digital Twin Technology Landscape
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- 6. 6 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Following figure compares the digital twin technology innovation landscape of General Electric and Siemens.