Yahoo Artificial Intelligence Patents Assessment
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Recent selling efforts of Yahoo brought an attention regarding its more than 6000 patents. Several patent professionals expect that the value of patents could be reach around $4 B. Yahoo patents for Artificial Intelligence (AI) include 58 US issued patents. Yahoo AI patents cover diverse applications such as Search Engine, Online Advertisement, Email System, Web Applications, E-commerce, Data Management, and Social Networking. Some of key Yahoo AI patents are as follows.
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Options:
Facility
Demand Options
Probability
Actions
Expected Payoffs
Large
Low Demand
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Low Demand
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Low Demand
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High Demand
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High Demand
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Build Large:
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High Demand
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Click here for the Statistical Terms review sheet.
Submit your conclusion in a Word document to the Submissions Area by the due date assigned .
Assignment 2 Grading Criteria
Maximum Points
The diagram is accurate and labeled correctly. The diagram clearly illustrates the sequence of events and their probability of occurrences.
32
A step-by-step breakdown of the calculations for the chance of probability and respective payoff is clearly communicated. The results of the calculations are accurate.
28
Clear and concise statement explaining the decision and a description of elements that lead to the decision.
20
Clear and concise statement explaining the decision and a description of elements that lead to the decision.
20
Total:
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Google's search algorithms are designed to prioritize high-quality, relevant content that provides value to users. The search giant constantly updates its algorithms to improve user experience and weed out low-quality content. As AI-generated content becomes more sophisticated, there is a growing interest in understanding how Google's algorithms perceive and rank such content.
One key factor that Google considers is user engagement. While AI can produce coherent and contextually relevant content, user engagement metrics such as click-through rates, time spent on page, and bounce rates remain critical. If AI-generated content fails to captivate and retain the audience's attention, it may not receive preferential treatment on SERPs.
Additionally, Google places a strong emphasis on the expertise, authoritativeness, and trustworthiness (E-A-T) of content. AI-generated content may face challenges in establishing E-A-T, especially if the source of the content is not clearly defined or if there is no human authorship associated with it. Google's algorithms may prioritize content with a proven track record of reliability and credibility.
On the flip side, proponents argue that AI-generated content has the potential to address specific challenges in content creation, such as scalability and efficiency. Businesses can leverage AI to produce a high volume of content quickly, allowing them to maintain a consistent online presence. If this content proves to be valuable to users, Google may recognize and reward it on SERPs.
Moreover, the dynamic nature of search engine algorithms means that they are likely to evolve in response to changes in technology and user behavior. Google has a history of adapting to emerging trends, and as AI continues to play a prominent role in content creation, it is plausible that Google's algorithms will evolve to better understand and evaluate AI-generated content.
IRJET - MADTECH Software System using Social Media Mining
1) The document proposes developing a software system called MAdTech that uses social media mining to obtain user data from social media and mobile apps. This data would then be used for targeted advertising.
2) The MAdTech system would consist of a MarTech tool to crawl and collect social media data and an AdTech platform to assist with media buying.
3) The goals of the system are to automate the data mining process, integrate MarTech and AdTech systems, and create a user-friendly interface to make targeted advertising more efficient and cost-effective than traditional methods.
IRJET- Hybrid Recommendation System for Movies
This document describes a hybrid recommendation system for movies that combines collaborative and content-based filtering. It uses the MovieLens rating dataset and supplements it with additional data from IMDB, such as movie details. Algorithms like nearest neighbors collaborative filtering and content-based filtering are used to provide personalized movie recommendations to users. The system architecture and design are outlined, including user profiles, movie searching, and success prediction for upcoming movies. An evaluation of the system demonstrates how additional content features can improve recommendation accuracy over collaborative filtering alone.
IMPLEMENTATION OF SASF CRAWLER BASED ON MINING SERVICES
As we know there are multiple users and they access various websites and every website contains multiple web pages. It is difficult for the users to find a document that is equal to their needs. Users browse their request by submitting their queries to any search engine like Google or Yahoo and it is has been found that most of the results given by the search engines are irrelevant most of the time. Web crawlers are most of the important components used by a search engine that collects web pages from the web. It is not easy for a crawler to download specific web pages. The ontology, created from the browsing history, was then parsed for the entered search query from users and the corresponding results were returned to the user providing a semantically organized and relevant output. An ontology-based web crawler uses ontological concepts for improving its performance. So it will be easy for the users to get relevant data what as per the user search request. We have focused on self-adaptive semantic focused crawler, SeSM and StSM algorithm.
The Affiliate 2 0 Litmus Test
Successful companies today embraced 2.0 long before the term was coined. This panel will explore the various definitions of Web 2.0 through the lenses of pioneers and performance marketing companies.
AI and Blockchain with Reference to IPRs-Advocate_Prity_Khastgir.pdf
AI and Blockchain with Reference to IPRs-Advocate_Prity_Khastgir.pdfTech Corp International Strategist
Key Features of mHealth:
Accessibility: mHealth allows users to access health-related information and services anytime and anywhere, making it convenient for both healthcare providers and patients.
Remote Monitoring: With mHealth, patients can monitor their health conditions remotely using wearable devices or mobile apps, enabling real-time data tracking and sharing with healthcare professionals.
Health Education and Awareness: Mobile apps and platforms offer health education materials and raise awareness about various medical conditions, preventive measures, and healthy lifestyles.
Telemedicine: mHealth facilitates telemedicine, where patients can consult with healthcare providers through video calls or messaging services, reducing the need for in-person visits.
Health Data Management: Mobile health applications enable users to store and manage their health data, such as medical records, test results, and medication reminders.
Personalized Health Solutions: mHealth platforms can provide personalized health solutions based on individual health data, promoting targeted interventions and better healthcare outcomes.
Benefits of mHealth:
Improved Access to Healthcare: mHealth eliminates geographical barriers and improves access to healthcare services, especially in remote or underserved areas.
Better Patient Engagement: Patients can actively participate in managing their health, leading to improved self-care and adherence to treatment plans.
Cost-Effectiveness: mHealth solutions can reduce healthcare costs by avoiding unnecessary visits to healthcare facilities and preventing hospital readmissions.
Real-Time Data Sharing: Healthcare providers can receive real-time data from patients, allowing timely interventions and personalized treatment plans.
Enhanced Public Health Initiatives: mHealth applications contribute to public health initiatives by delivering health education and promoting preventive measures for specific health issues.
Despite its numerous benefits, mHealth also faces challenges such as ensuring data security and privacy, regulatory compliance, and reaching populations with limited access to mobile technology. Nonetheless, mHealth continues to transform healthcare delivery, making it more efficient, accessible, and patient-centered.Dennis Hills - Introduction to Machine Learning on Mobile.pdf
This session is intended for mobile and web developers who want an understanding of machine learning and how to use it in a mobile application without understanding the complexities of algorithms and how they train models and learn. We'll briefly define AI and machine learning, explain why machine learning is so hot, pinpoint the parts of machine learning most relevant to mobile development, and provide tips for getting started.
E017413647
This document discusses building a simulation to optimize a data webhousing system and meta-search engine through hardware and software configuration and tuning techniques. It outlines steps for the configuration process, including setting up hardware infrastructure, developing the meta-search engine and public web server, creating a web application, initializing and monitoring the data webhouse, applying ranking models periodically, and refreshing the data. Implementation issues covered include user authentication, classifying and categorizing users, analyzing clickstream data, and an example scenario of clickstream data collection. The goal is to implement technologies like data webhousing and perform tuning to take advantage of their capabilities.
Similar to Yahoo Artificial Intelligence Patents Assessment (20)
IRJET - Chrome Extension for Detecting Phishing Websites
IRJET - Chrome Extension for Detecting Phishing Websites
How artificial intelligence is changing content marketing
How artificial intelligence is changing content marketing
Assignment 2 Probability AnalysisA General Manger of Harley-Dav.docx
Assignment 2 Probability AnalysisA General Manger of Harley-Dav.docx
IRJET- Detecting Phishing Websites using Machine Learning
IRJET- Detecting Phishing Websites using Machine Learning
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...
AI-Generated Conten Will Google Prioritize it on SERPs.pdf
AI-Generated Conten Will Google Prioritize it on SERPs.pdf
IRJET - MADTECH Software System using Social Media Mining
IRJET - MADTECH Software System using Social Media Mining
IMPLEMENTATION OF SASF CRAWLER BASED ON MINING SERVICES
IMPLEMENTATION OF SASF CRAWLER BASED ON MINING SERVICES
AI and Blockchain with Reference to IPRs-Advocate_Prity_Khastgir.pdf
AI and Blockchain with Reference to IPRs-Advocate_Prity_Khastgir.pdf
Dennis Hills - Introduction to Machine Learning on Mobile.pdf
Dennis Hills - Introduction to Machine Learning on Mobile.pdf
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"
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
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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Tokenization, Securitization, Monetization of Real-World Assets
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- 1. 1 ©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/ Yahoo Artificial Intelligence Patents Assessment Alex G. Lee (alexglee@techipm.com) Recent selling efforts of Yahoo brought an attention regarding its more than 6000 patents. Several patent professionals expect that the value of patents could be reach around $4 B. Yahoo patents for Artificial Intelligence (AI) include 58 US issued patents. Yahoo AI patents cover diverse applications such as Search Engine, Online Advertisement, Email System, Web Applications, E-commerce, Data Management, and Social Networking. Some of key Yahoo AI patents are as follows.
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