Cloudera Sessions for Big Data &amp; AI Highlights

View of Scalable Machine Learning in R and Python with H2O Seminar Boston AI & Deep learning Meetup The focus of this presentation is scalable machine learning using the h2o R and Python packages. H2O is an open source, distributed machine learning platform designed for big data, with the added benefit that it's easy to use on a laptop (in addition to a multi-node Hadoop or Spark cluster). The core machine learning algorithms of H2O are implemented in high-performance Java, however, fully-featured APIs are available in R, Python, Scala, REST/JSON, and also through a web interface. Since H2O's algorithm implementations are distributed, this allows the software to scale to very large datasets that may not fit into RAM on a single machine. H2O currently features distributed implementations of Generalized Linear Models, Gradient Boosting Machines, Random Forest, Deep Neural Nets, Stacked Ensembles (aka "Super Learners"), dimensionality reduction methods (PCA, GLRM), clustering algorithms (K-means), anomaly detection methods, among others. R and Python code with H2O machine learning code examples will be demoed live and will be made available on GitHub for participants to follow along on their laptops if they choose. For those interested in running the code on a multi-node Amazon EC2 cluster, an H2O AMI is also available.

H2O Machine Learning Introduction Highlights

Government agencies are collecting and producing data at an accelerating rate, and constituents want access to this data with decreasing latency. Meeting a digitally savvy polity's desire for data while ensuring that data is open, accessible, and interpretable by all comes with unique challenges. I'll share some of these while walking through how governments are building their own data products using open data as well as empowering civic hackers. I'll also walk through why data science at the government level is fundamentally different than data science in the private sector.

Digital Government: Data + Government Isn't Enough | Wrangle Conference 2017

Cloudera, Inc.

BASEL III Compliance

AnalytiX DS

University missions have expanded from teaching and research to include economic development and translating university-based research into benefit society through IP creation and management, technology licensing and transfer, entrepreneurial efforts in commercialization, economic development, job creation and mentoring innovative students. Frances S. Ligler, Lampe Distinguished Professor of Biomedical Engineering North Carolina State University “The Path to a License” Nasser Peyghambarian, Chair of Photonics and Lasers and Director of NSF Engineering Research Center for Integrated Access Networks The University of Arizona “Entrepreneurial and Commercialization Activities at Universities: The Good, The Bad and The Ugly”

University Innovation, Licensing, Commercialization, Entrepreneurship

Developer Solutions事業部メシウス株式会社（旧グレープシティ株式会社）

LSA17: Where Google is Going and What to do About it – Now (Tidings, Local SE...

Localogy

Angularを使ったエンタープライズWebアプリケーション開発の問題と解決策

AWS Migration - General

Kenji Morooka

In this session, we use Apache web logs as example and show you how to build an end-to-end analytics solution. First, we cover how to configure an Amazon ES cluster and ingest data using Amazon Kinesis Firehose. We look at best practices for choosing instance types, storage options, shard counts, and index rotations based on the throughput of incoming data. Then we demonstrate how to set up a Kibana dashboard and build custom dashboard widgets. Finally, we review approaches for generating custom, ad-hoc reports.

ABD302_Real-Time Data Exploration and Analytics with Amazon Elasticsearch Ser...

Amazon Web Services Japan

CityWallet - From Mount Augustus to Los Roques Archipelago

Hernan Garcia

AWS上でのオンラインゲームリリースガイド

In order to prepare for a data governance initiative, companies need to break down their organizational silos and address inefficiencis in business process. Any organization will use a number of different business processes for operations, sales, marketing, and other areas. Capturing the way a business works can be challenging, but data architects should work with business stakeholders to establish process models and ensure they are all speaking the same language to create a solid foundation for enterprise architecture and data governance. IDERA's Kim Brushaber will discuss the importance of business process modeling as the first step for data governance and demonstrate how ER/Studio Business Architect helps companies map and model the relationships between process, people, and data.

Getting Started with Data Governance? Use Process Models!

DATAVERSITY

加速するデータドリブンコミュニケーション

Keisuke Anzai

Guest Lecture on Big Data in Business,

saravana krishnamurthy

AWS re:Invent is an annual global conference of the Amazon Web Services community held in Las Vegas. If you missed it, and couldn’t make it to AWS re:Invent 2017 Recap in Hong Kong either, don’t worry! We are going to showcase a series of newly-released services at AWS re:Invent online in this webinar! We will cover new services and features for Compute & Containers, Database, Machine Learning and Artificial Intelligence, etc. Register now to explore the new features and services announced at AWS re:Invent 2017!

AWS reInvent 2017 Recap Webinar

Sales on Prime Day 2017 surpassed Black Friday and Cyber Monday, making it the biggest day ever in Amazon history. An event of this scale requires infrastructure that can easily scale to match the surge in traffic. In this session, learn how AWS and Amazon DynamoDB powered Prime Day 2017. DynamoDB requests from Amazon Alexa, the Amazon.com sites, and the Amazon fulfillment centers peaked at 12.9 million per second, a total of 3.34 trillion requests. Learn how the extreme scale, consistent performance, and high availability of DynamoDB let Amazon.com meet the needs of Prime Day without breaking a sweat.

クラウドを活用したセンシング／モニタリングなどデータ分析の実現

崇之清水

How DynamoDB Powered Amazon Prime Day 2017 - DAT326 - re:Invent 2017

Fed up with stop and go in your data center? Shift into overdrive and pull into the fast lane! Learn how AutoScout24, the largest online car marketplace Europe-wide, is building its Autobahn in the Cloud. The secret ingredient? Culture! Because “cloud” is only half of the digital transformation story. The other half is how your organization deals with cultural change as you transition from the old world of IT into building microservices on AWS, with agile DevOps teams in a true „you build it, you run it“ fashion. Listen to stories from the trenches, powered by Amazon Kinesis, Amazon DynamoDB, AWS Lambda, Amazon ECS, Amazon API Gateway and much more, backed by AWS Partners, AWS Professional Services, and AWS Enterprise Support. Learn how to become cloud native, evolve your architecture, drive cultural change across teams, and manage your company’s transformation for the future.

地域活性化　長門

博喜井上

The Enterprise Fast Lane - What Your Competition Doesn't Want You to Know abo...

You can watch the replay for this Geek Sync webcast in the IDERA Resource Center: http://ow.ly/tLtr50A5b4b The General Data Protection Regulation (GDPR) is inevitable and goes live in the EU beginning May 25th 2018. It touches all technical and organizational measures as well as the design of internal systems and processes, and affects all companies around the world that have customers in the EU. Join IDERA and Dr. Sultan Shiffa as he focuses on how data modeling, governance and collaboration help Executives, IT Managers, Architects, DBAs and Developers tackle the key challenges around data protection by design and by default, individual rights to access and erasure, valid consent, data protection roles and accountabilities, data breach notifications, and auditing the records of data processing activities. This session will also explore best practices and examples for how to master those challenges and assess the data protection impact. After this session, you can be prepared to become GDPR compliant ahead of the deadline and beyond.

Geek Sync | Tackling Key GDPR Challenges with Data Modeling and Governance

IDERA Software

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Connected Things 2017 Keynote Highlights

H2O Machine Learning Introduction Highlights

Digital Government: Data + Government Isn't Enough | Wrangle Conference 2017

BASEL III Compliance

University Innovation, Licensing, Commercialization, Entrepreneurship

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加速するデータドリブンコミュニケーション

Guest Lecture on Big Data in Business,

AWS reInvent 2017 Recap Webinar

クラウドを活用したセンシング／モニタリングなどデータ分析の実現

How DynamoDB Powered Amazon Prime Day 2017 - DAT326 - re:Invent 2017

地域活性化　長門

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Geek Sync | Tackling Key GDPR Challenges with Data Modeling and Governance

More from 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.

[Presentation] Webinar on Patent Management and Patent Asset STO in the ChatG...

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.

Metaverse x AI x Web3 x Sustainability Convergence

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

Tokenization, Securitization, Monetization of Real-World Assets

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 Innovation through ChatGPT Powered Patent Analysis

Represented by ChatGPT, Artificial Intelligence (AI) has become increasingly important in business over the past few years, and it has the potential to revolutionize many industries. One way to maximize the business value of AI is through patents. This webinar is designed to explore the strategy and practical ways to maximize the business value creation of AI utilizing patents. Agenda The state of the art AI innovation AI innovation insight from patents Commercial utilization of AI patents Financial utilization of AI patents AI patent development considering future technology/market evolution IPwe SIAM platform for maximizing AI business value creation utilizing patents

Maximizing AI Business Value Creation Utilizing Patents

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

Real-World Assets STO + Institutional DeFi Integration

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"

Metaverse x Web3 Interoperability Overview

AI for Metaverse x Web3 Overview

[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”

NFT Web3 Metaverse Global Leaders Roundtable

Fame Universe Introduction

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.

Metaverse Fashion Overview

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

Global Metaverse Fashion Innovators Roadshow

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/)

NFT Financialization Overview

I. Metaverse Digital RevolutionMetaverse Revolution ImperativesMetaverse Present and Future InfographicsMetaverse Industry ApplicationsII. Metaverse Technology InnovationWhy Metaverse Now?Meta Metaverse XR Device PrototypesApple Metaverse XR Device Insights from PatentsRoblox Metaverse Game Platform Innovation Insights from PatentsDigital Twin Innovation Insights from PatentsMetaverse Patents Development Boom3D Metaverse Space Development: 3D Rendering 3D Metaverse Space Development: 2D to 3D Translation 3D Metaverse Object Development: 2D to 3D ConversionInteractive Experience Design: Multi-Sensory PerceptionVirtual Product Development: NFT Digital AssetsMeatavere Application Development: Retail ShoppingMeatavere Application Development: Automotive ShowroomMeatavere Application Development: TourMeatavere Application Development: MeetingMeatavere Application Development: Smart FactoryMetaverse Enterprise PlatformMetaverse Enterprise Platform System Components III. Metaverse Business Development: Metaverse BM & InvestmentExperience EconomyMetaverse User Experiences (MUXs)Metaverse BM Innovation for New Experience EconomyMetaverse Angel/VC Investors IV. Metaverse Economic SystemNFT Functions and Legal Status NFT + DeFi ConvergenceMetaverse Economic System ComponentsMetaverse Economic System ArchitectureV. Metaverse + ESG ConvergenceESG/Sustainability ImperativeMetaverse Renewable Energy System ManagementMetaverse Factory for Sustainable Manufacturing/Supply ChainMetaverse for Sustainable Smart City Development Metaverse NFT/DeFi Based Sustainable FinancingDesigning Sustainable Metaverse Experiences (SMXs)Metaverse Impact on EnvironmentMetaverse Impact on People/Society

Metaverse & Web3 Technology Innovation & Business Development

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

NFT Monetization Innovation Webinar

KVA 한국기업·기술가치평가협회 주관으로 열린 웹3.0기반 메타버스 응용을 위한 NFT 가치개발과 가치평가 특강 내용: 메타버스, 웹3, NFT에 대한 기본을 이해하고 웹3 기반 메타버스 응용을 위한 NFT 가치개발에 대한 동향과 전망을 알아보고 NFT 수익화를 위한 NFT 지적재산(IP) 개발과 NFT 가치평가에 대해 알아본다. 세부내용: 기본과정 (1시간) 메타버스의 이해 웹3의 이해 NFT의 이해 고급과정 (1시간) NFT 웹3 기반 메타버스 응용을 위한 가치개발 웹3 기반 메타버스 응용 NFT 지적재산 개발 웹3 기반 메타버스 응용 NFT에 의한 수익화 웹3 기반 메타버스 응용 NFT의 가치평가

웹3.0기반 메타버스 응용을 위한 NFT 가치개발과 가치평가 특강

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

NFT for Web3 Based Metaverse Monetization Webinar.pdf

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.

FAME UNIVERSE Fashion NFT Monetization Platform Introduction

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.

NAVIGATING THE METAVERSE (Wiley) One Page Book Summary

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.

FAME Universe Introduction

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웹3.0기반 메타버스 응용을 위한 NFT 가치개발과 가치평가 특강

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