AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions.
When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani:
Present a framework for rethinking business and operating models
Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models
Explain the opportunities and risks created by digital firms
Describe the new challenges and responsibilities for the leaders of both digital and traditional firms
Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
This presentation is about googles HRM practices and the following topics are covered in this presentation:
Introduction(Google's)
Job Analysis & Design
Recruitment and Selection
Training
performance Management
Compensation and Career Development
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
This presentation is about googles HRM practices and the following topics are covered in this presentation:
Introduction(Google's)
Job Analysis & Design
Recruitment and Selection
Training
performance Management
Compensation and Career Development
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
I had to do a final project consisting of an entire strategic plan for a Fortune 1000 company. I chose Google because I love most of their products. The powerpoint begins from the start of thinking about strategy all the way through implementing it and revising it when necessary. Everything in between falls in this Powerpoint as well. It is one of my personal favorites.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
Technology is rapidly advancing. Have we reached the knee of the curve of exponential growth? From robots and AI, and 3D printers, to lasers and quantum computers our technological prowess continues to grow at an amazing rate.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Contents
Discovery-Driven Digital Transformation by Rita McGrath and Ryan McManus
The Transformative Business Model by Stelios Kavadias, Kostas Ladas, and Christoph Loch
Digital Doesn’t Have to Be Disruptive by Nathan Furr and Andrew Shipilov
What’s Your Data Strategy? by Leandro DalleMule and Thomas H. Davenport
Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani
Building the AI-Powered Organization by Tim Fountaine, Brian McCarthy, and Tamim Saleh How Smart,
Connected Products Are Transforming Companies by Michael E. Porter and James E. Heppelmann
The Age of Continuous Connection
The Problem with Legacy Ecosystems by Maxwell Wessel, Aaron Levie, and Robert Siegel
Your Workforce Is More Adaptable Than You Think by Joseph B. Fuller, Judith K. Wallenstein, Manjari Raman, and Alice de Chalendar
How Apple Is Organized for Innovation by Joel M. Podolny and Morten T. Hansen
Digital Transformation Comes Down to Talent in Four Key Areas
I had to do a final project consisting of an entire strategic plan for a Fortune 1000 company. I chose Google because I love most of their products. The powerpoint begins from the start of thinking about strategy all the way through implementing it and revising it when necessary. Everything in between falls in this Powerpoint as well. It is one of my personal favorites.
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
Technology is rapidly advancing. Have we reached the knee of the curve of exponential growth? From robots and AI, and 3D printers, to lasers and quantum computers our technological prowess continues to grow at an amazing rate.
As generative AI adoption grows at record-setting speeds and computing demands increase, hybrid processing is more important than ever. But just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. In this talk you’ll learn:
• Why on-device AI is key
• Which generative AI models can run on device
• Why the future of AI is hybrid
• Qualcomm Technologies’ role in making hybrid AI a reality
Contents
Discovery-Driven Digital Transformation by Rita McGrath and Ryan McManus
The Transformative Business Model by Stelios Kavadias, Kostas Ladas, and Christoph Loch
Digital Doesn’t Have to Be Disruptive by Nathan Furr and Andrew Shipilov
What’s Your Data Strategy? by Leandro DalleMule and Thomas H. Davenport
Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani
Building the AI-Powered Organization by Tim Fountaine, Brian McCarthy, and Tamim Saleh How Smart,
Connected Products Are Transforming Companies by Michael E. Porter and James E. Heppelmann
The Age of Continuous Connection
The Problem with Legacy Ecosystems by Maxwell Wessel, Aaron Levie, and Robert Siegel
Your Workforce Is More Adaptable Than You Think by Joseph B. Fuller, Judith K. Wallenstein, Manjari Raman, and Alice de Chalendar
How Apple Is Organized for Innovation by Joel M. Podolny and Morten T. Hansen
Digital Transformation Comes Down to Talent in Four Key Areas
Review of AI Maturity Models in Automotive SME Manufacturinggerogepatton
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
REVIEW OF AI MATURITY MODELS IN AUTOMOTIVE SME MANUFACTURINGijaia
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
Website URL:https://www.airccse.org/journal/ijaia/ijaia.html Review of AI Mat...gerogepatton
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
Artificial Intelligence has become a new way for businesses to strategize, connect, shape business models and rethinking their operations from scratch. Artificial Intelligence is a continuously growing phenomenon with more possibilities each day. Today, societies at large are realizing that AI can sow endless benefits in collaboration with human intelligence
Delving Into Artificial and Human Intelligenceaakash malhotra
The 21st century has seen some major technological breaking innovations and the process is in the continuum. Today, the age is starting to embrace the presence of Artificial Intelligence in our everyday lives. Moreover, businesses are using AI in one way or the other to connect and collaborate with society.
Digital Enterprise Architecture: Four Elements Critical to Solution EnvisioningCognizant
For the digital enterprise, architecture of all varieties must evolve strategically in step with technological capabilities and business imperatives. Such a multidimensional approach includes automation, AI, analytics, big data management and digitization as a holistic phenomenon.
The Evolution of AI from Research to ROI in 2024.pdfCiente
Discover the transformative journey of artificial intelligence from theoretical research to strategic asset, unlocking substantial returns for organizations in 2024.
Generative AI- Guide to Business ImplementationLiveplex
In a world rapidly reshaped by technology, understanding and implementing generative AI is no longer a luxury—it's a necessity. That's why we're thrilled to share our latest eBook, a deep dive into the strategic, ethical, and innovative dimensions of generative AI.
What's Inside?
🔍 Balancing the Risks and Rewards of AI
🔗 Aligning AI with Digital Strategies
📈 Scaling AI from Experimentation to Enterprise-Wide Impact
👥 Putting People at the Heart of AI Strategy
🌐 Collaborating in the AI Ecosystem
🔮 Preparing for a Transformative AI-Driven Future
Creating a Capability-Led IT OrganizationCognizant
It's time for a new approach to IT, in which business prioritize, nurture and execute on a defined set of capabilities, thus moving past incremental improvement, to competitive differentiation.
Five Converging Forces that Are Driving Technological EvolutionCognizant
The digital era is catalyzing business, unleashing technological change that may appear chaotic on the surface but is resulting in massively powerful systems of intelligence that enable humans and machines to collaborate securely.
For many, web-scale IT is an alien and drastic approach being met with fear and resistance. So the first question for any organization should be; what is it? Cameron Haight, Gartner’s chief of research for infrastructure and operations, coined the term “Web-scale IT” earlier 2014 as a way to describe the new ways organizations leverage technology to provide their customers with content quickly and at massive scale.
The Future of Work: How AI is Shaping Employment and IndustriesKelvin Martins
"The Future of Work: How AI is Shaping Employment and Industries" is a concise eBook exploring AI's impact on workforce dynamics and industry landscapes. Through real-life examples and practical insights, readers gain an understanding of how AI is transforming job roles, organizational structures, and the overall landscape of work.
The power of Cloud - Driving business model innovationIBM Software India
Although businesses today are leveraging the power of Cloud to transform the way they function, they are yet to realize its potential when it comes to driving innovation in the organisation. When utilised effectively, Cloud capabilities offer numerous advantages to drive business innovation. Read through or download the study to find out more.
IT that matters in the new machine age prioritizes cybersecurity, innovation, time-to-market and customers over cost-cutting, according to our latest study. Here’s what the future looks like for IT infrastructure, including our HEROES framework to guide you along the way.
Intangible assets, which account for up to 90% of a company's value, especially patents, which make up the largest proportion of these assets, are hardly ever utilized for corporate value creation despite their value. In this presentation, I introduce patent management solutions for the development of patents that can contribute to corporate value creation, using the latest digital technologies such as AI, blockchain, and Web 3.0. I also introduce measures to maximize the financial use of patent assets secured through such patent management. In particular, I will look into the domestic and overseas trends of STO (Security Token Offering), which have recently been gaining attention in S. Korea, and learn about strategies and methods for patent asset STO.
The Metaverse x AI x Web3 x Sustainability convergence presents a future vision that transforms how we interact with the digital realm, combining the expansive, immersive qualities of the Metaverse, the advanced computational abilities of AI, the decentralized nature of Web3, and the global imperative of sustainability.
Metaverse and AI Integration: AI technologies shape the Metaverse to be an immersive, interactive, and deeply engaging digital universe. Tools like the Meta AI Builder Bot, Nvidia's GANverse3D/GET3D, and Magic3D create 3D environments and objects, contributing to the Metaverse's realism. Lifelike human avatars, AI-powered digital fashion design, and immersive shopping experiences further enrich user engagement. Additionally, the Metaverse can become a testing ground for AI innovation, enabling developers to leverage its vast data generation and system testing capabilities.
AI and Web3 Integration: AI fortifies the decentralized Web3 ecosystem, creating unique digital assets for Non-Fungible Tokens (NFTs) and potential markets within the Metaverse. Furthermore, AI's capability to automate DeFi processes paves the way for more efficient, accessible financial services in the decentralized digital economy.
Web3 and Metaverse Integration: Blockchain technologies, the backbone of Web3, could be woven into the fabric of the Metaverse, giving rise to novel, decentralized commerce systems. It can enable peer-to-peer transactions and build decentralized marketplaces, providing users with greater control over their economic interactions in the virtual realm.
Metaverse and Sustainability Integration: The Metaverse offers a virtual platform to drive sustainable initiatives, reducing real-world resource consumption. In the Metaverse, renewable energy systems could be simulated and managed, virtual stores could advocate for sustainable products, and virtual factories could optimize sustainable manufacturing processes and supply chains. Furthermore, it could serve as a prototyping platform for sustainable smart cities, providing an efficient way to plan, simulate, and refine before real-world implementation.
To conclude, the convergence of Metaverse, AI, Web3, and Sustainability initiates a transformative movement toward a digital ecosystem that's immersive, intelligent, decentralized, and sustainable. This synergy could redefine digital experiences, promote efficient and fair economic interactions, and support global sustainability goals, signifying a new dawn in our digital evolution.
Tokenization, securitization, and monetization of real-world assets refer to the process of converting traditional assets into digital assets that can be traded, managed, and invested in a new way. Tokenization involves the creation of a digital token that represents ownership or a proof of authenticity of a real-world asset. The token can be traded on blockchain-based platforms, providing a secure and transparent record of ownership and enabling the creation of new markets for these assets. Securitization refers to the process of pooling together a set of assets and creating new securities backed by the underlying assets. In the context of tokenization, securitization involves the creation of asset-backed tokens that represent ownership in a portfolio of assets. Monetization refers to the process of generating revenue from an asset. In the context of tokenization and securitization, monetization can involve selling tokens or securities, licensing assets, or generating income from the underlying assets.
This webinar is designed to explore the tokenization, securitization, and monetization of real-world assets that have the potential to revolutionize the way we trade, manage, and invest in real-world assets, and to create new markets and opportunities for investors and asset owners.
Agenda:
Asset‐Backed Tokens
Security Token Offering (STO)
Securitization of Real-World Assets
NFT & DeFi for Securitization and Monetization of Real-World Assets
Metaverse for Monetization of Real-World Assets
Case Studies: Real Estates, Securities, Intangible Assets
IP Asset Tokenization, Valuation, Monetization: IPwe SIAM Platform
Patent information can be utilized in various ways depending on how it is understood. I have devised a method to extract useful insights for the development of new products or services from patents in specific technology fields by using the analysis and cognition capabilities of GPT-4 based ChatGPT. I have applied this to the fields of generative AI, metaverse, and Web3-based fintech.
For the case study, in the generative AI field, I examined Google's patent US10452978 "Attention-based sequence transduction neural networks" (this patent describes the transformer architecture, which is the basis of most large language models (LLMs) for generative AI); in the metaverse field, I looked at Meta's patent US11302063 "3D conversations in an artificial reality environment"; and in the Web3-based fintech field, I explored nChain's patent US10776761 "Virtual currency system."
I input into ChatGPT a guideline consisting of five key steps: identifying the main purpose of the patent invention, summarizing the technological innovations in the patent claims, describing potential products or services based on the technology, identifying the main industry participants, and evaluating competitive advantages. For more details, please refer to the attached file and evaluate the level of results at your discretion.
The outputs generated from the method described can provide valuable insights for various business applications:
Patent licensing promotion: By identifying the main purpose, technological innovations, and potential products or services related to a patent, businesses can better understand the value proposition of their intellectual property. This information can be used to showcase the benefits of the patented technology to potential licensees, making it more appealing for them to enter into licensing agreements. Thus, you can more effectively promote patent licensing.
Finding potential infringement: Summarizing the technological innovations in the patent claims helps businesses clearly understand the scope of their intellectual property protection. By comparing this information with competing products or services in the market, they can identify potential infringement cases and take appropriate legal actions to protect their intellectual property.
M&A target identification: Evaluating competitive advantages and identifying the main industry participants can help businesses spot potential acquisition targets. Companies with complementary technologies, strong market presence, or unique intellectual property could provide strategic opportunities for growth through mergers and acquisitions.
Product or service market fit: Describing potential products or services based on the patented technology can help businesses identify new opportunities for product development or market expansion. By understanding the potential applications and market demand for a particular technology, businesses can better tailor their offerings to meet customer needs.
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
Real-World Assets STO + Institutional DeFi Integration
Institutional DeFi refers to tokenize real-world assets with regulatory compliance and institutional-level controls for consumer protection. One of the main benefits of Institutional DeFi is the potential to transform the traditional financial system by making it more transparent, efficient, and accessible while maintaining the necessary safeguards for investor protection and financial stability. This can lead to new products, cost reduction, and faster settlement times for financial institutions.
STO (Security Token Offering) of real-world assets involves the issuance of security tokens that represent ownership of a real-world asset, such as a share of stock, bond, or real estate property. The tokenization and securitization process is carried out by an issuer who follows the necessary regulatory requirements. These security tokens can be listed, distributed, and traded on Institutional DeFi applications to automate various processes such as trading, settlement, and custody. This allows for greater security, efficiency, transparency, and liquidity.
#defi #fundraising #sto #tokenization #nft #securitization #security
Presentation of the Interoperable Metaverse x Web3 Development Webinar
Agenda:
Challenges in Building Interoperable Metaverse
3D Objects/Contents/Avatars/Assets Cross-Metaverse Interoperability
NFT Cross-Chain Interoperability
Interoperability in Metaverse Fashion
Metaverse Interoperability Standards
Speakers
Mikeldi Rodriguez, Metaverse Creative Technologist at Telefónica
"Avatar Interoperability Based On Metadata"
Leo Hilse, Founder at STYLE Protocol
"STYLE Protocol: NFT Inter-Metaverse Interoperability"
Alain Dessureaux, CTO at SpatialPort
"SpatialPort's Interoperable 3D eCommerce Platform"
This webinar is designed to explore the state of the art AI innovation and business applications for the web3 based metaverse development.
Agenda:
AI for Building Metaverse World
AI for 3D Objects/Contents/Avatars Creation
AI for Metaverse Commerce
AI for Metaverse Fashion
AI for NFT
AI for DAO
IP Issues with AI Created Assets
[Reminder] NFT•Web3•Metaverse Global Leaders Roundtable
Thais is a reminder that the NFT•Web3•Metaverse Global Leaders Roundtable will begin in three days on December 1 (Thursday) 2022, 12 pm ET (https://www.linkedin.com/events/nft-web3-metaversegloballeaders6988852388136640513/about/).
This roundtable is a hybrid Zoom + Metaverse event. At the start of the event, all participants will join the Zoom for a scheduled speaker introduction and networking. Those who want to participate in the metaverse event will join after the Zoom event.
Schedule:
12:00 - 12:05 EST "Introduction" Alex G. Lee, CEO & Founder at TechIPm
Part I. Zoom Meeting
12:05 - 12:20 EST “Reviews of NFT•Web3•Metaverse Global Leaders Presentations” Alex G. Lee
12:20 - 13:00 EST Speaker Introduction & Recap”
Matteo Gamberale, Founder & CEO at Zappy
Jens Laugesen, Founder at JENS_LAUGESEN DESIGN ADVISORY & KONsensX
Ofer Rubin, 3D/XR Executive Advisor at RealeyeZ3D
Erich Spangenberg, CEO & Co-Founder at IPwe
Tapan Lala, Founder at ZcureZ
Husam Yaghi, Group VP at Mawarid Media & Communications Group
Alex Bellesia, CEO & Founder at Spatial Port
Nick Cherukuri, CEO & Founder at ThirdEy
Doug Hohulin, Affiliate Faculty at Kansas University School of Nursing
Ruben Sananes, CEO & Founder at IMRSIVE
Se-Joon Chung, CEO & Co-Founder at AForm
James Costa, Founder at Clubhouse Archives
Tom Wallace, Founder at CreatedBy DAO
Aditya Mani, Founder at YOLOgram app
Aline Conus-Moulin, Managing Partner at E-NOTAM Ltd.
Vandana Taxali, Founder & CEO at Artcryption
Alex Di Giovanni, Founding Lawyer at Pando Law
13:00 - 13:15 EST
“Guidance for the Metaverse Event Places " Alex G. Lee
Part II. Metaverse Meeting
At the Metaverse Campus’ Lecture Hall (https://www.challau.com/college/techipm)
13:15 - 13:30 EST "Present and Future of NFT•Web3•Metaverse" Presentation by Doug Hohulin,
At the Metaverse Networking Place (https://www.challau.com/town-square/alex-g--lee)
13:30 - 14:00 EST “Networking with Speakers”
The fashion industry represents the estimated global revenues of $1.5T.
The global counterfeiting industry is expected to hit the $4.2T mark by 2022.
References
The fashion industry lost more than $50B in 2020 due to the sale of the counterfeit products:
Clothing appears to be the most counterfeited product followed by cosmetics and personal care, watches and jewelry, handbags and luggage.
The COVID-19 pandemic accelerates the digital transformation globally, and the fashion industry is no exception.
Citi expects the metaverse economy as large as $13T by 2030 and Gartner predicts that , and Gartner predicts that 25% of people will spend at least one hour a day
in the metaverse by 2026.
The creator economy has already exceeded a $100B market size. The NFT
market reaches $1.05T. The wearable NTF market is expected to be $11B in 2022.
Fashion industry lends well to the metaverse where the ecosystem includes metaverse fashion digitalization, metaverse fashion house/brand,
Ph i l f hi h d f hi k l il d h f hi k i d ygitalwear, metaverse fashion show and metaverse fashion marketplace/retail, and the metaverse fashion market is expected to increase
up to $55B by 2030.
As sustainability became the mainstream business the anti , the anti-sustainability and anti-circularity nature of the fashion business place
the sustainability as the top priority agenda in the fashion business practices.
Fashion digitalization and the metaverse fashion can be a potential solution for mitigating the anti-sustainability and anti-circularity nature
TechIPm, LLC
of the fashion business.
Gen Z and Gen Alpha become the future big spenders and sustainability advocates in fashion.
Schedule
12:00 - 12:10 EST
"Introduction" Alex G. Lee, CEO & Founder at TechIPm
12:10 - 12:25 EST
“JENS LAUGESEN X META\SENS Digital Collaboration in London Fashion Week” Jens Laugesen, Founder at JENS_LAUGESEN DESIGN ADVISORY
12:25 - 12:40 EST
"Ecoolska: Phygital Sustainable Fashion Brand" Olska Green, Founder at Ecoolska
12:40 - 12:55 EST
"WEARSPACES: Dress like a game-changer in Metaverse & IRL" Julien Chmilewsky, Co-Founder at WEARSPACES
12:55 - 13:10 EST
"Innovation in Fashion Brands Metaverse Shopping Experiences" Ruben Sananes, CEO & Founder at IMRSIVE
13:10 - 13:25 EST
"NEOMODEST: Inclusive, Accessible, Decentralized Metaverse Fashion" Afroja K, Founder at NEOMODEST
13:25 - 13:40 EST
"XTENDED iDENTiTY: The Experiential Digital Fashion Lab" Xing Yunjia, Co-Founder at XTENDED iDENTiTY
13:40 - 13:55 EST
“GAD (Garment Automated Digitisation)” Pietro Dalpane, CEO & Co-Founder at DeepGears
13:55 - 14:10 EST
"Fostering Interoperable Digital Fashion Through Graphics Technology" Se-Joon Chung, CEO & Co-Founder at AForm
14:10 - 14:25 EST Coffee Break
14:25 - 14:40 EST
“3D Garment Creation to Simulation - Connecting Digital Fashion with Digital Human” Kenneth Ryu, CSO at z-emotion
14:40 - 14:55 EST
"A Luxury Fashion Brand & Web3 Marketplace" James Costa, Founder at Clubhouse Archives
14:55 - 15:10 EST
"Marketing Digital Fashion with Avatar Generated Content" Diego Rios, Founder at Animalz
15:10 - 15:25 EST
"CreatedBy DAO: A Phygital NFT Ecosystem" Tom Wallace, Founder at CreatedBy DAO
15:25 - 15:40 EST
"MaisonDAO: Decentralized Digital Fashion Brand and ArtTech Collective" Elena Nazaroff, Co-Founder at MaisonDAO
15:40 - 16:05 EST
"Browzwear Innovative 3D Digital Fashion Solution" Afsha Iragorri, 3D Fashion Designer at 3D Fashion Solutions
16:05 - 16:20 EST
“Innovative 3D Digital Fashion Design” Olesya Pupchenko, Director at Global Rise Group
Agenda
Metaverse Fashion Design
Interoperable Metaverse Fashion
NFTs for Metaverse Fashion
Web3 for Metaverse Fashion
Metaverse Fashion Commerce
NFT financialization refers to bringing NFTs closer to financial use, mostly, by making NFT useful in DeFi protocols. NFT financialization is the most important element of NFT monetization innovation to overcome the low liquidity and high price volatility of almost all NFTs currently.
NFT Fractionalization splits a NFT into smaller fungible tokens that represent partial ownership of the NFT. The NFT is locked in a smart contract and the ownership remains with the original holder. Fractionalization can unlock liquidity for NFT owners and cheapens access to valuable NFTs, and improves the NFT market spectrum. An issue with fractionalization is a reconstitution after ractionalization. Buyout auctions alleviate the reconstitution problem to some extent.
*NFT fractionalization protocols: NFTX (https://nftx.io/), Fractional (https://fractional.art/), NFT20 (https://nft20.io/), Unic.ly (https://www.unic.ly/), Szns (https://www.szns.io/)
NFT Lending uses NFT as collateral for loans. In peer-to-peer lending, borrowers and lenders manually negotiate and come to an agreement for loan terms such as duration, interest rates and loan-to-value ratios in a peer-to-peer fashion. This lending enables a customizable loan terms without a need to rely on price oracles. Because the matching process is manual time-to-liquidity may be slow. In peer-to-pool lending, liquidity providers fungible tokens into pools and borrowers take up loans from these pools instantaneously. Borrowers should put up their NFTs as collateral by locking them in smart contracts (digital vaults). This lending, however, must rely on price oracles to automate loan terms.
*Peer-to-peer NFT lending protocols: NFTfi(https://www.nftfi.com/), Arcad (https://www.arcade.xyz/), MetaStreet (https://metastreet.xyz/)
*Peer-to-pool NFT lending protocols: Bridgesplit (https://www.bridgesplit.com/), BendDAO (https://www.benddao.xyz/en/, PINE (https://pine.loans/), JPEG’d (https://jpegd.io/)
NFT Rental market is where NFT owners can rent out their NFTs to receive income and renters can rent NFTs to use but without owning them. In collateral renting, renter has to put up collateral to rent the NFT to use (e.g., reNFT (https://www.renft.io/). Collateral-free renting separates ownership and utility of an NFT (e.g., IQ Protocol (https://iq.space/#top).
NFT Price Discovery uses AMMs (Automated Market Makers)/bonding curves for an automatic price discovery in DeFi exchange liquidity pools (e.g., Uniswap and Sushiswap).
*NFT Price Discovery protocols: Sudoswap (https://sudoswap.xyz/#/), Pilgrim (https://pilgrim.money/), Rootswap (https://rootswap.xyz/)
I. Metaverse Digital RevolutionMetaverse Revolution ImperativesMetaverse Present and Future InfographicsMetaverse Industry ApplicationsII. Metaverse Technology InnovationWhy Metaverse Now?Meta Metaverse XR Device PrototypesApple Metaverse XR Device Insights from PatentsRoblox Metaverse Game Platform Innovation Insights from PatentsDigital Twin Innovation Insights from PatentsMetaverse Patents Development Boom3D Metaverse Space Development: 3D Rendering 3D Metaverse Space Development: 2D to 3D Translation 3D Metaverse Object Development: 2D to 3D ConversionInteractive Experience Design: Multi-Sensory PerceptionVirtual Product Development: NFT Digital AssetsMeatavere Application Development: Retail ShoppingMeatavere Application Development: Automotive ShowroomMeatavere Application Development: TourMeatavere Application Development: MeetingMeatavere Application Development: Smart FactoryMetaverse Enterprise PlatformMetaverse Enterprise Platform System Components
III. Metaverse Business Development: Metaverse BM & InvestmentExperience EconomyMetaverse User Experiences (MUXs)Metaverse BM Innovation for New Experience EconomyMetaverse Angel/VC Investors IV. Metaverse Economic SystemNFT Functions and Legal Status NFT + DeFi ConvergenceMetaverse Economic System ComponentsMetaverse Economic System ArchitectureV. Metaverse + ESG ConvergenceESG/Sustainability ImperativeMetaverse Renewable Energy System ManagementMetaverse Factory for Sustainable Manufacturing/Supply ChainMetaverse for Sustainable Smart City Development Metaverse NFT/DeFi Based Sustainable FinancingDesigning Sustainable Metaverse Experiences (SMXs)Metaverse Impact on EnvironmentMetaverse Impact on People/Society
This webinar is designed to explore the innovative NFT monetization through the convergence of NFT securitization and DeFi.
Agenda
Reviews of NFT Monetization
NFT Valuation
NFT IP Licensing
NFT + DeFi Convergence: MetaFi, GameFi, DAOFi, ...
NFT Securitization Development
Legal Challenges of NFT Securitization
NFT Securitization Use Cases
NFT Securitization + DeFi Convergence
Schedule:
12:00 – 12:15 ET, Alex G. Lee
"Introduction & Overview"
12:15 – 12:30 ET, Ted Kim
"XBRIK: NFT Securitization & Brick Exchange & IBO DeFi Platform"
12:30 – 12:45 ET, Aditya Mani
"In-app monetization of NFTs for Style"
12:45 – 13:00 ET, Aline Conus-Moulin
"NFT Valuation: Challenges & Solutions"
13:00 – 13:15 ET, Yael Tamar
"NFTs in Real Estate"
13:15 – 13:30 ET, Vandana Taxali
"NFT IP Rights Licensing: Deep Dive"
13:30 – 13:45 ET, Joshua Hale
"NFTDAOs not spelled S A F E: Why the most interesting things you can do in crypto can land you in hot water!"
13:45 – 14:00 ET, Alex G. Lee
(Optional) Q&A/Discussion
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
This webinar is designed to explore the current status of the NFT ecosystem and monetization potentials exploiting the web3 based metaverse. If you are a tech-savvy IP legal professional, you will be interested in legal challenges and opportunities with the NFT/Web3/Metaverse/Cryptocurrency.
Please join on September 22 (Thu) at 12:00 ET to learn from legal experts in NFT, Web3, Metaverse, Tokenization, Intellectual Property:
"NFT IP Rights: Monetization Opportunities & Legal Challenges" from Vandana Taxali, Founder & CEO at Artcryption
"Legal Challenges of Web3 Gaming Studios and Platforms" from Andrew Cripps, Founder at MetaCounsel
Agenda:
Utility NFT for Metaverse Monetization
NFT for Customer Loyalty Program 3.0
NFT for X2E (Play-to-Earn, Wear-to-Earn, ...)
NFT Interoperability
NFT Valuation
NFT for Web2/Legacy to Web3/Metaverse Business Transition
NFT for Creator/Experience Tokenomics
NFT based Monetization for Metaverse Fashion & Other Industries
NFT for Monetizing IP Portfolio Development (NFT IP Securitization)
NFT IP Rights Legal Issues
NFT + DeFi Convergence: MetaFi, GameFi, DAOFi, ...
NFT for Physical + Virtual Convergence Economy/Commerce
Future of NFT: Composable NFT, Dynamic NFT, Consumable NFT, ...
Other speakers/topics:
"The Future of NFT" from Mohamed Hafiz, Advisor at First Abu Dhabi Bank
"NFT based Monetization for Metaverse Fashion & Other Industries" from Nova Lorraine, Director at Raine Drops NFT Art House
"Phygital Fashion with NFTs" from Fahmid Uddin, Founder at M3RCH.xyz
"Interoperable NFTs for GenZ: Gaming and Fashion" from Matteo Gamberale, Founder & CEO at Zappy
"NFT for Web2/Legacy to Web3/Metaverse Business Transition" from Gianfranco Lopane, President at Smarterverse
"Your Digital DNA & NFT: Monetization of Digital Identity in the Metaverse" from Kelvin Troy, CEO at Cross-Metaverse Avatars LLC
Fame Universe (https://fameuniverse.xyz/) is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.” Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Patent pending Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem. Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively. Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
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Patent pending Fame fashion NFT monetization platform (FameFiTM) is a core element of the fame platform.
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FameFiTM is designed to employ various innovative monetization methods including fashion IP NFT licensing, securitization and NFTFi for maximizing monetary rewards to the Fame ecosystem/community members and for enabling financially sustainable Fame metaverse fashion ecosystem development.
FameFiTM is designed to resolve many legal issues in fashion NFT monetization and overcome several huddles in the fashion NFT valuation.
FameFiTM is designed to innovate the fashion NFT value creation through NFT scarcity, utility and sustainable tokenomics development.
C: The metaverse is designed to give like-minded communities of common interests digital sandboxes to play, earn, own, and socialize.
U: The decentralized economy is user controlled, not centrally governed.
T: The metaverse experience is possible through Web 3.0 technology, such as blockchain, 5G networks, VR, AR, and cloud computing.
E: Experiences and interactions give NFTs greater utility, which drives greater value.
R: A connection to the real world gives the metaverse value beyond entertainment as it augments real-world experiences and offers the potential for real financial gains as well.
Fame Universe (https://fameuniverse.xyz/)
Fame is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.”
Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem.
Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively.
Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
Fame Platform Design
Fame platform is designed to provide a simple way of embracing digital/web3 fashion business for legacy/web2 fashion business.
Fame platform is designed to provide a community building solution that the ecosystem players and stakeholders can participate with self-sovereignty and consensus.
Fame platform is designed to employ various innovative monetization methods for increasing market scalability.
Fame platform is designed to be modular considering current technology limitations and emerging technology expectations.
Fame platform is designed to resolve fashion’s inherent sustainability/circularity issues.
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Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
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Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
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Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
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Competing in the Age of AI One Page Book Summary
1. Competing in the Age of AI (HBR Press) One Page Book Summary
Edited by Alex G. Lee (https://www.linkedin.com/in/alexgeunholee/)
2. Rethinking the Firm
3. The AI Factory
4. Rearchitecting
the Firm
1. The Age of AI
5. Becoming an AI Company 6. Strategy for a New Age
7. Strategic Collisions
8. The Ethics of Digital Scale,
Scope, and Learning
9. The New Meta
10. A Leadership Mandate
a. AI is transforming the very nature of companies—how they operate and how they compete.
b. AI is restructuring the economy.
Understanding the new
opportunities and challenges
has become essential, and
many time-honored
assumptions about strategy
and leadership no longer
apply.
Emergence of firms that are
designed and architected to
release the full potential of
digital networks, data,
algorithms, and AI (digital
operating models).
Case studies of three digital unicorns: Ant Financial,
Ocado, and Peloton
Firms need a fundamentally different operating architecture
to remove constraints on firm scale, growth, and learning
exploiting the full power of digital networks and AI.
Operating architecture for an AI-powered firm: a
common foundation of data inputs, software
technology and algorithms that are provided by an
AI factory, easily accessible (but carefully designed
and secure) interfaces that agile teams developing
individual applications can use.
Digital firms enable and require a
new approach to strategy exploiting
the digital network and learning
effects.
Leaders should be aware of how their newly
deployed digital capabilities can be misused
in ways they never intended-or possibly even
imagined.
The age of AI is defining a new
set of challenges for leaders.
Amazon's digital operating model
illustrates the advantages of digital
scale, scope, and learning. Its digital
systems scale more easily and
continue to improve despite the size
and complexity of its operation.
Digital unicorns’ operating model (delivers value) enables
striking capacity to drive scale, scope, and learning and their
business model enables creation and capture of value without
operational limitation.
The AI factory is the scalable decision engine that enable
data-driven and AI-driven automation, analysis, and
insights and powers the digital operating model of the
twenty-first-century firm.
AI factory components: the AI algorithms that make predictions
and influence decisions, the data pipeline that feeds them, and
the software, connectivity, and infrastructure that power them.
To become an AI-enabled firm that can leverage the power of
data, networks, and AI requires the transformation journey
of deploying a digital operating model.
Five guiding principles that characterize an
effective transformation process:
1. Development of strategic clarity and commitment
2. Development of a clear operating architecture
3. Development of a product-focused agile
organization
4. Development of a deep foundation of capability in
software, data sciences, and advanced analytics
5. Development of a clear multidisciplinary
governance
The stronger the network and
learning effects, the sharper the
increase in value with scale:
a. The most important value
creation dynamic of a digital
operating model is its network
effects.
b. Learning effects can either add
value to existing network effects or
generate value in their own right.
A new generation of digital operating
models transform the economics and
nature of service delivery, and thus,
competition.
As collisions between digital firms and
traditional firms multiply across the
economy, different industries become
increasingly connected to each other
coalescing around a small number of
digital superpowers (hub firms).
Ethical challenges created by the combination of
digital networks and AI: digital amplification,
algorithmic bias, data security and privacy, platform
control, fairness and equity
The age of AI is changing the rules of the game. The new rules are
defining the new age, shaping key arenas, and transforming our
collective future.
Rule 1: The age of AI is driven by a relentless and systemic driver
of change.
Rule 2: AI-driven world has more to do with a universal and
horizontal capabilities.
Rule 3: Traditional industry boundaries are disappearing.
Rule 4: As digital operating models continue to displace traditional
industrial processes, they also remove traditional operating
constraints.
Rule 5: Concentration and inequality will likely get worse.
Enterprise transformation
Entrepreneurial opportunity
Regulation
Community