Selected Topics
Modern Artificial Intelligence 1980s-2021 and Beyond
A Vision for the Next Decade of Computing
The Next Decade in AI: Four Steps Toward Robust Artificial Intelligence
Keras and TensorFlow: The Next Five Years
A Vision for the Future of ML Frameworks
AI Implementation at Scale: Lessons from the Front Lines
A Future with Self-Driving Vehicles
Advances in Renewable Energy: Enabling Our Decarbonized Energy Future with Technology Innovations and Smart Operations
Accelerating Health Care at Bayer with Science@Scale and Federated Learning
Large-Scale Deep Learning Recommendation Models at Facebook
Is AI at the Edge the Killer App for 5G?
Deep Learning for Anomaly Detection
From Storytelling to StoryLiving: A Vision for the Future of Immersive Entertainment
A New Era in Virtual Cinematography
Digital Transformation Is Here: Augmenting Human Capacity with Exponential Compute
Rethinking Drug Discovery in the Era of Digital Biology
Representation Learning for Autonomous Robots
Architecting the Secure Accelerated Data Center of the Future
Convergence of AI and HPC to Solve Grand Challenge Science Problems
Presenting US HHS Artificial Intelligence Strategy 2021: AI Mission and Ambition Commentary by the CAIO
Two key words for the post COVID-19 pandemic economic recovery will be the ESG (Environmental, Social, and Governance) management and digital transformation acceleration.
It is also expected that three core technologies in the data-centric digital economy - AI, Blockchain, IoT and their convergence - will support a long-term sustainable economic system development.
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. ESG Digital Transformation Innovation Status
III. AI, Blockchain, IoT, and Their Convergence for ESG Digital Innovation Use Case Examples
1. Use Case for Reducing Carbon Footprints (AI + IoT)
2. Use Case for Increasing Renewable Energy Use (AI + Blockchain)
3. Use Case for Waste Management (AI +Blockchain+IoT)
4. Use Case for Workplace/Workforce Management in Social-Human Care (AI+IoT)
5. Use Case for Cybersecurity & Privacy in Social-Business Relationship Management (AI +Blockchain+IoT)
6. Use Case for Corporate Governance (Blockchain)
The Implementing AI: Running AI at the Edge, hosted by KTN and eFutures, is the second event of the Implementing AI webinar series.
To make products more intelligent, more responsive and to reduce the data generated, it is advantageous to run AI on the product itself, as opposed to in the cloud.
The focus of this webinar was the opportunities and challenges of moving the AI processing to “the Edge”. The webinar had four presentations from experts covering overviews of the opportunity, implementation techniques and case studies.
Find out more: https://ktn-uk.co.uk/news/just-launched-implementing-ai-webinar-series
Cloud, Big Data, IoT, ML - together to build a real world use case!Krishna-Kumar
Open Source India Conference 2017 - Cloud Big Data IoT ML together to build a real world use case / solution. Comparative study of various software stacks included.
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
AI in Business - Key drivers and future valueAPPANION
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
Digital twins for secure, green and healthy future citiesIET India
Most cities across the world are looking at transforming into ‘smart cities’. With the world becoming exponentially digital and data increasing in volume and value, smart cities are now becoming more of a necessity. Most of the countries have been using Digital twins for an effective plan, design, build and management of the cities. While there are different kinds of systems within a city, in this webinar, we discussed four core systems of the city namely: 1) Healthcare system 2) Water management system 3) Safety & Security system 3) Environment system.
Read the report for insights on - creating city twins, predicting the city's future, empowering city administrators to take preventive and proactive actions using digital twins to improve health, safety, traffic, environment, infrastructure in Cities and insights on how to improve the city's Gross Happiness Index.
Download the full report here: https://bit.ly/3lZBHAi
You can also catch the on-demand discussion: https://youtu.be/40faBmjChlc
Top 10 Technology Predictions - Future Outlook for AI and DLTAPPANION
Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.
Two key words for the post COVID-19 pandemic economic recovery will be the ESG (Environmental, Social, and Governance) management and digital transformation acceleration.
It is also expected that three core technologies in the data-centric digital economy - AI, Blockchain, IoT and their convergence - will support a long-term sustainable economic system development.
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. ESG Digital Transformation Innovation Status
III. AI, Blockchain, IoT, and Their Convergence for ESG Digital Innovation Use Case Examples
1. Use Case for Reducing Carbon Footprints (AI + IoT)
2. Use Case for Increasing Renewable Energy Use (AI + Blockchain)
3. Use Case for Waste Management (AI +Blockchain+IoT)
4. Use Case for Workplace/Workforce Management in Social-Human Care (AI+IoT)
5. Use Case for Cybersecurity & Privacy in Social-Business Relationship Management (AI +Blockchain+IoT)
6. Use Case for Corporate Governance (Blockchain)
The Implementing AI: Running AI at the Edge, hosted by KTN and eFutures, is the second event of the Implementing AI webinar series.
To make products more intelligent, more responsive and to reduce the data generated, it is advantageous to run AI on the product itself, as opposed to in the cloud.
The focus of this webinar was the opportunities and challenges of moving the AI processing to “the Edge”. The webinar had four presentations from experts covering overviews of the opportunity, implementation techniques and case studies.
Find out more: https://ktn-uk.co.uk/news/just-launched-implementing-ai-webinar-series
Cloud, Big Data, IoT, ML - together to build a real world use case!Krishna-Kumar
Open Source India Conference 2017 - Cloud Big Data IoT ML together to build a real world use case / solution. Comparative study of various software stacks included.
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
AI in Business - Key drivers and future valueAPPANION
Artificial Intelligence is undoubtedly a hyped topic at the moment. But what is the reasoning for investors and digital platform players to bet very large amounts of money on this technology right now? To better understand the current market dynamics and to give an overview of renown predictions for the upcoming 2-3 years, we compiled a practical overview of this topic. This report covers the major driving forces of AI, assumptions for the future from the industry thought leaders as well as practical advice on how to start AI projects within your company.
Digital twins for secure, green and healthy future citiesIET India
Most cities across the world are looking at transforming into ‘smart cities’. With the world becoming exponentially digital and data increasing in volume and value, smart cities are now becoming more of a necessity. Most of the countries have been using Digital twins for an effective plan, design, build and management of the cities. While there are different kinds of systems within a city, in this webinar, we discussed four core systems of the city namely: 1) Healthcare system 2) Water management system 3) Safety & Security system 3) Environment system.
Read the report for insights on - creating city twins, predicting the city's future, empowering city administrators to take preventive and proactive actions using digital twins to improve health, safety, traffic, environment, infrastructure in Cities and insights on how to improve the city's Gross Happiness Index.
Download the full report here: https://bit.ly/3lZBHAi
You can also catch the on-demand discussion: https://youtu.be/40faBmjChlc
Top 10 Technology Predictions - Future Outlook for AI and DLTAPPANION
Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.
Top 10 Trending Technologies To Master In 2021LokeshLusifer
Change is the only constant. This applies to your professional life as well. Upskilling Yourself is needed nowadays, the reason is pretty simple, technology is evolving very quickly? I have listed the top trending technologies which are expected to acquire a huge market in 2021.
2. You can also the link for getting special offers and related article
Contents
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
Blockchain ICO
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration
Xanadu based Blockchain + Big Data + AI+ IoT Integration
Xanadu Functionality
Xanadu based Big Data Archive
Xanadu Performance BMT
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Hadoop + Deep Learning Integration Demo
Xanadu based Medical CBIR System
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Advantage of Xanadu + Blockchain Integration
Xanadu + Blockchain Integration Demo
Part I. Artificial Intelligence Applications for Patents
1. AI Innovations
Video Link: https://www.youtube.com/watch?v=z0GuRDLHRYU
AI Innovation Frontline
Top 100 AI Technology Innovation Entities
AI Demos: Autonomous Cars
AI Demos: Digital Human/Avatar
AI vs. Human
2. AI Application Demos
Video Link:https://www.youtube.com/watch?v=yoPkP-BZAa8
Computer Vision/Healthcare:
(CBIR) Content Based Image Retrieval for eye disease/chest X-ray diagnostics
Natural Language Processing/Understanding/Generation:
Hugging Face BERT Sentence Completion/ Text Classification/Question Answer
Sentence BERT Movie Recommender
Facebook ParlAI Chatbot
Finance:
Credit Card Fraud Detection
Stock Price Prediction
Stock Trade Simulation
Financial Statements Analysis
3. Artificial Intelligence Applications for Patents Demos
Video Link: https://www.youtube.com/watch?v=kVmHmh0Kbos
Patent Word Cloud Analysis
I & Blockchain patents
Patent Semantic Search
AI patents search using an abstract
LTE standard essential patent search using a standard specification
Patent Text Translation
English patent to German/French/Chinese/Japanese
Patent Text Summarization
legal/patent/technical text
Patent Classifier
AI CPC classification
RFID technology landscaping
LTE standard essential patent classification
AI+Blockchain+IoT convergence research
Patent Claim Generation
AI & Blockchain patent claim automatic generation
Claim Charts for Standard Essential Patents
[Prerequisite] pre-trained/fine-tuned BERT/GPT2 models using specific standard specifications
Part II. Blockchain Applications for Patents
1. Blockchain Innovation Status and Applications
Video Link:https://www.youtube.com/watch?v=l8cq-DB7VbM
Top 100 Blockchain Technology Innovation Entities
Blockchain Innovation Frontline
AI+Blockchain+IoT Convergence
AI+Blockchain System Demo for Medical Data Sharing
AI+ Blockchain System Demo for E-Commerce Use Case
2. DeFi Based Patent Monetization Platform Development
Video Link: https://www.youtube.com/watch?v=JarYMPIxlr4
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
Gartner Top 10 Strategy Technology Trends 2018
1. AI Foundation
2. Intelligent Apps and Analytics
3. Intelligent Things
4. Digital Twin
5. Cloud to the Edge
6. Conversational Platforms
7. Immersive Experience
8. Blockchain
9. Event Driven Model
10. Continuous Adaptive Risk and Trust
Contents
I. Metaverse Ecosystem
-Present and Future of Metaverse Infographics
-Why Metaverse Now?
II. Digital Twin Metaverse
-Digital Twin Types
-Digital Twin Models
-Digital Twin Patent Landscape
-Digital Twin Metaverse Use Case: AI Innovation Platform
III. Metaverse Enterprise & ESG Applications
-Metaverse Enterprise
-ESG Strategic Planning and Program Management
-Scenario Planning for Metaverse Enterprise
-TCFD Scenario Analysis
IV. ESG Digital Transformation
-ESG Sustainability Imperative
-ESG Investing and Management Consideration Core Factors
-ESG + Digital Integrated Transformation (ESGDX) Imperative
-How ESGDX Can Create New Revenue Streams?
-ESGDX for ESG Sustainability Management
-ESG Sustainability Management/Assessment Issues & Challenges & Solutions
-ESG DX Forum
V. Sustainable Smart City Development
-Metaverse for Sustainable Smart City
-Smart City Components
-Smart City Design and Development
-Smart City Management
-Smart City Financing and Business Development
3 Advantages (And 1 Disadvantage) Of Edge ComputingBernard Marr
Edge computing is a key technology helping businesses with their digital transformation. Here we explore the advantages and disadvantages every business should be aware of.
Understanding the New World of Cognitive ComputingDATAVERSITY
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
Top 10 Technologies to Learn in 2019 | Trending Technologies 2019 | Top 10 Te...Simplilearn
This presentation about "Top 10 Technologies to learn in 2019" will introduce you to all the top 10 popular and trending technologies in the market in 2019. These are the trending technologies that you need to watch out for in order to make a successful career in the year 2019.
Below are the top 10 technologies that we will be discussing:
10. Immersive technologies
09. Digital twin
08. Edge computing
07. Cybersecurity
06. Internet of things (IoT)
05. Cloud computing
04. Autonomous things (AUT)
03. Quantum computing
02. Blockchain
01. Artificial intelligence
Learn Artificial Intelligence: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course
Learn Blockchain: https://www.simplilearn.com/blockchain-certification-training
Learn Cloud Computing: https://www.simplilearn.com/cloud-solutions-architect-masters-program-training
Learn Cyber Security: https://www.simplilearn.com/cyber-security/cissp-certification-training
I gave this talk at the 'Digital Twin Conference' hosted by LH Corp at COEX, Seoul on August 8th, 2019.
Abstract: 'Digital Twin' is a digital replication of real world objects, processes, phenomena that can be used for various purposes. Digital twin concept backs to manufacturing industry in early 2000s for the PLM (Product Lifecycle Management) purposes. It is based on the idea that a digital informational construct about a physical system could be created as an entity on its own. Definitions of digital twin emphasize the three important levels or characteristics. At first, there should be connection between real physical world and corresponding virtual world. To do this, Level 1 digital twin provides virtual 3D models. Secondly, this connection between real world and virtual world is established by generating (near) real time data using sensors or IoT. This is called Level 2 digital twin. Thirdly, Level 3 digital twin carries out certain analyses, predictions, and simulations using virtual 3D and (near) real time data. ‘Smart Spaces’ are interactive environments where humans and technology can openly communicate with each other in a physical or digital setting. Examples of smart spaces include smart cities, smart factories, and smart homes. ‘Smart Spaces’ is one of Garner’s Top 10 Tech Trends for 2019. As spaces are going through digital transformation with 4th industrial revolution, there are many attempts to apply digital twin technology to manage urban, spatial, and industrial issues around the world. Those attempts look set to play an increasingly important role in the creation of smart cities, smart factories, and smart homes. Bringing the virtual and real worlds together in this way can help to give better analysis, visualization, and simulation to the decision-making process. This will be a multi-way process with iterative feedback among stakeholders.
In this talk, I'll share my real experiences in carrying out digital twin and smart space projects. Also I’ll talk about what I’ve learnt from these projects.
Integrating the IIoT with the digital twins for the drugs industryAboul Ella Hassanien
Presentation at Advanced Intelligent Systems for Sustainable Development (AISSD 2021) 20-22 August 2021 organized by the scientific research group in Egypt with Collaboration with Faculty of Computers and AI, Cairo University and the Chinese University in Egypt
Contents
I. ESG Introduction
ESG Management Matters?
ESG Investment Matters?
ESG Management Status
ESG Investment Status
ESG Investing Consideration Core Factors
ESG Reporting Frameworks & Guidelines
ESG Reporting Trends to Watch in 2021
ESG in S. Korea
My ESG Book Recommendation
II. AI & Blockchain Applications for ESG
AI Applications for ESG Investing Demos
ESG Knowledge Map (AI Topic Modeling)
ESG Performance Score - Materiality Comparisons Across Industries
ESG Incident (Risks) Analysis in S. Korea
Blockchain for ESG Management
Blockchain DeFi Based ESG Financing
DeFi Based ESG Financing Platform Development
DeFi Reference
III. ESG Digital Transformation
ESG Digital Transformation (DX)
The Fourth Wave of Environmentalism
AI Innovation State Of The Art
Blockchain State Of The Art: Issues with Public Chain
IoT Innovation State Of The Art: 5G & Edge AI
AI Blockchain IoT for ESG Digital Transformation AT A Glance
ESG DX Innovation Insights from Patents
AI Blockchain IoT Convergence for ESG DX Insights from Patents
ESG Cybersecurity & Privacy
ESG Cybersecurity & Privacy Reporting Standard
Global Standard for Reporting Cybersecurity & Privacy
Cybersecurity & Privacy Reporting Standard Development
ESG DX Framework Development
Issues with Current ESG Performance Evaluation
ESG DX for ESG Management & Investment
WEF/IBC Metrics & Disclosure Standard
SASB Materiality Map
How to Determine Materiality?
ESG DX Framework for Metrics Digitalization & Reporting Automation Exploiting Existing IT/Digital Technology System
ESG DX Framework for ESG Metrics Data Governance
ESG DX Framework for Business Innovation & Growth
ESG DX Framework based on AI+Blockchain+IoT Convergence
ESG DX Framework for New Deal Project in S. Korea
ESG DX Forum
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Internet of Things (IoT) patents can provide insights regarding the state of the art and technical details of the IoTinnovations. Following patent analysis is based on TechIPm’s patent research for the most promising IoT startups that are listed in CB Insights’ 2017 The Industrial IoT: 125+ Startups Report (https://www.cbinsights.com/research/top-startups-iiot/).
Metaverse - The 'Killer App' for 5G, 6G and BeyondAnand Bhojan
"Metaverse - The 'Killer App' for 5G, 6G and Beyond":
With the growing popularity of X-Reality (VR/AR/MR/Metaverse) generation of global media-data is expected to accelerate at much higher rate and they will drive innovations and advancements in mobile networks. In this talk, challenges in Metaverse and we will explore suitable system architectures for streaming and analytics for Metaverse with the 5G edge nodes.
The revolutionary companies to watch edition 1Merry D'souza
In this edition of Insights Success, we bring you, RevolutionaryCompanies to Watch. These companies have built a name for themselves by delivering quality products and services consistently over years.
Happy Reading!
Top 10 Trending Technologies To Master In 2021LokeshLusifer
Change is the only constant. This applies to your professional life as well. Upskilling Yourself is needed nowadays, the reason is pretty simple, technology is evolving very quickly? I have listed the top trending technologies which are expected to acquire a huge market in 2021.
2. You can also the link for getting special offers and related article
Contents
Blockchain Components
Blockchain Reference Architecture
Blockchain Platforms: Ethereum
Blockchain Platforms: Hyperledger
Blockchain Use Cases
Blockchain 3.0
Emerging Blockchain Technology
Big Data Introduction
Big Data Analysis Flow
Big Data Use Cases
IoT Introduction
IoT Use Cases
IoT Analytics
Challenges of IoT Big Data Analytics Applications
Artificial Intelligence Overview
Artificial Intelligence Revolution
Deep Learning Introduction
Deep Learning Use Cases
Automated Skin Cancer Classification
Automated Diabetic Retinopathy Classification
Portable Ultrasound Devices
Big Data in IoT & Deep Learning
The Fourth Industrial Revolution?
AI Investment
Blockchain ICO
IoT Startups by Industry & Patents
AI Startups by Industry & Patents
Blockchain Startups by Industry & Patents
Blockchain + IoT Integration
Blockchain + IoT Use Cases: IIoT & SCM
Blockchain + AI Integration
Blockchain + AI Integration Demo
Blockchain + Big Data Integration
Blockchain + Big Data + AI+ IoT Integration
Xanadu based Blockchain + Big Data + AI+ IoT Integration
Xanadu Functionality
Xanadu based Big Data Archive
Xanadu Performance BMT
Xanadu Commodity Storage System Use Case
Xanadu Cloud Computing Use Case
Xanadu + Hadoop + Deep Learning Integration Demo
Xanadu based Medical CBIR System
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Advantage of Xanadu + Blockchain Integration
Xanadu + Blockchain Integration Demo
Part I. Artificial Intelligence Applications for Patents
1. AI Innovations
Video Link: https://www.youtube.com/watch?v=z0GuRDLHRYU
AI Innovation Frontline
Top 100 AI Technology Innovation Entities
AI Demos: Autonomous Cars
AI Demos: Digital Human/Avatar
AI vs. Human
2. AI Application Demos
Video Link:https://www.youtube.com/watch?v=yoPkP-BZAa8
Computer Vision/Healthcare:
(CBIR) Content Based Image Retrieval for eye disease/chest X-ray diagnostics
Natural Language Processing/Understanding/Generation:
Hugging Face BERT Sentence Completion/ Text Classification/Question Answer
Sentence BERT Movie Recommender
Facebook ParlAI Chatbot
Finance:
Credit Card Fraud Detection
Stock Price Prediction
Stock Trade Simulation
Financial Statements Analysis
3. Artificial Intelligence Applications for Patents Demos
Video Link: https://www.youtube.com/watch?v=kVmHmh0Kbos
Patent Word Cloud Analysis
I & Blockchain patents
Patent Semantic Search
AI patents search using an abstract
LTE standard essential patent search using a standard specification
Patent Text Translation
English patent to German/French/Chinese/Japanese
Patent Text Summarization
legal/patent/technical text
Patent Classifier
AI CPC classification
RFID technology landscaping
LTE standard essential patent classification
AI+Blockchain+IoT convergence research
Patent Claim Generation
AI & Blockchain patent claim automatic generation
Claim Charts for Standard Essential Patents
[Prerequisite] pre-trained/fine-tuned BERT/GPT2 models using specific standard specifications
Part II. Blockchain Applications for Patents
1. Blockchain Innovation Status and Applications
Video Link:https://www.youtube.com/watch?v=l8cq-DB7VbM
Top 100 Blockchain Technology Innovation Entities
Blockchain Innovation Frontline
AI+Blockchain+IoT Convergence
AI+Blockchain System Demo for Medical Data Sharing
AI+ Blockchain System Demo for E-Commerce Use Case
2. DeFi Based Patent Monetization Platform Development
Video Link: https://www.youtube.com/watch?v=JarYMPIxlr4
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
Gartner Top 10 Strategy Technology Trends 2018
1. AI Foundation
2. Intelligent Apps and Analytics
3. Intelligent Things
4. Digital Twin
5. Cloud to the Edge
6. Conversational Platforms
7. Immersive Experience
8. Blockchain
9. Event Driven Model
10. Continuous Adaptive Risk and Trust
Contents
I. Metaverse Ecosystem
-Present and Future of Metaverse Infographics
-Why Metaverse Now?
II. Digital Twin Metaverse
-Digital Twin Types
-Digital Twin Models
-Digital Twin Patent Landscape
-Digital Twin Metaverse Use Case: AI Innovation Platform
III. Metaverse Enterprise & ESG Applications
-Metaverse Enterprise
-ESG Strategic Planning and Program Management
-Scenario Planning for Metaverse Enterprise
-TCFD Scenario Analysis
IV. ESG Digital Transformation
-ESG Sustainability Imperative
-ESG Investing and Management Consideration Core Factors
-ESG + Digital Integrated Transformation (ESGDX) Imperative
-How ESGDX Can Create New Revenue Streams?
-ESGDX for ESG Sustainability Management
-ESG Sustainability Management/Assessment Issues & Challenges & Solutions
-ESG DX Forum
V. Sustainable Smart City Development
-Metaverse for Sustainable Smart City
-Smart City Components
-Smart City Design and Development
-Smart City Management
-Smart City Financing and Business Development
3 Advantages (And 1 Disadvantage) Of Edge ComputingBernard Marr
Edge computing is a key technology helping businesses with their digital transformation. Here we explore the advantages and disadvantages every business should be aware of.
Understanding the New World of Cognitive ComputingDATAVERSITY
Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business?
In this webinar a panel of experts in Cognitive Computing will discuss the technology, the current practical applications, and where this technology is going. The discussion will start with a review of a recent survey produced by DATAVERSITY on how Cognitive Computing is currently understood by your peers. The panel will also review many components of the technology including:
Cognitive Analytics
Machine Learning
Deep Learning
Reasoning
And next generation artificial intelligence (AI)
And get involved in the discussion with your own questions to present to the panel.
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
Top 10 Technologies to Learn in 2019 | Trending Technologies 2019 | Top 10 Te...Simplilearn
This presentation about "Top 10 Technologies to learn in 2019" will introduce you to all the top 10 popular and trending technologies in the market in 2019. These are the trending technologies that you need to watch out for in order to make a successful career in the year 2019.
Below are the top 10 technologies that we will be discussing:
10. Immersive technologies
09. Digital twin
08. Edge computing
07. Cybersecurity
06. Internet of things (IoT)
05. Cloud computing
04. Autonomous things (AUT)
03. Quantum computing
02. Blockchain
01. Artificial intelligence
Learn Artificial Intelligence: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course
Learn Blockchain: https://www.simplilearn.com/blockchain-certification-training
Learn Cloud Computing: https://www.simplilearn.com/cloud-solutions-architect-masters-program-training
Learn Cyber Security: https://www.simplilearn.com/cyber-security/cissp-certification-training
I gave this talk at the 'Digital Twin Conference' hosted by LH Corp at COEX, Seoul on August 8th, 2019.
Abstract: 'Digital Twin' is a digital replication of real world objects, processes, phenomena that can be used for various purposes. Digital twin concept backs to manufacturing industry in early 2000s for the PLM (Product Lifecycle Management) purposes. It is based on the idea that a digital informational construct about a physical system could be created as an entity on its own. Definitions of digital twin emphasize the three important levels or characteristics. At first, there should be connection between real physical world and corresponding virtual world. To do this, Level 1 digital twin provides virtual 3D models. Secondly, this connection between real world and virtual world is established by generating (near) real time data using sensors or IoT. This is called Level 2 digital twin. Thirdly, Level 3 digital twin carries out certain analyses, predictions, and simulations using virtual 3D and (near) real time data. ‘Smart Spaces’ are interactive environments where humans and technology can openly communicate with each other in a physical or digital setting. Examples of smart spaces include smart cities, smart factories, and smart homes. ‘Smart Spaces’ is one of Garner’s Top 10 Tech Trends for 2019. As spaces are going through digital transformation with 4th industrial revolution, there are many attempts to apply digital twin technology to manage urban, spatial, and industrial issues around the world. Those attempts look set to play an increasingly important role in the creation of smart cities, smart factories, and smart homes. Bringing the virtual and real worlds together in this way can help to give better analysis, visualization, and simulation to the decision-making process. This will be a multi-way process with iterative feedback among stakeholders.
In this talk, I'll share my real experiences in carrying out digital twin and smart space projects. Also I’ll talk about what I’ve learnt from these projects.
Integrating the IIoT with the digital twins for the drugs industryAboul Ella Hassanien
Presentation at Advanced Intelligent Systems for Sustainable Development (AISSD 2021) 20-22 August 2021 organized by the scientific research group in Egypt with Collaboration with Faculty of Computers and AI, Cairo University and the Chinese University in Egypt
Contents
I. ESG Introduction
ESG Management Matters?
ESG Investment Matters?
ESG Management Status
ESG Investment Status
ESG Investing Consideration Core Factors
ESG Reporting Frameworks & Guidelines
ESG Reporting Trends to Watch in 2021
ESG in S. Korea
My ESG Book Recommendation
II. AI & Blockchain Applications for ESG
AI Applications for ESG Investing Demos
ESG Knowledge Map (AI Topic Modeling)
ESG Performance Score - Materiality Comparisons Across Industries
ESG Incident (Risks) Analysis in S. Korea
Blockchain for ESG Management
Blockchain DeFi Based ESG Financing
DeFi Based ESG Financing Platform Development
DeFi Reference
III. ESG Digital Transformation
ESG Digital Transformation (DX)
The Fourth Wave of Environmentalism
AI Innovation State Of The Art
Blockchain State Of The Art: Issues with Public Chain
IoT Innovation State Of The Art: 5G & Edge AI
AI Blockchain IoT for ESG Digital Transformation AT A Glance
ESG DX Innovation Insights from Patents
AI Blockchain IoT Convergence for ESG DX Insights from Patents
ESG Cybersecurity & Privacy
ESG Cybersecurity & Privacy Reporting Standard
Global Standard for Reporting Cybersecurity & Privacy
Cybersecurity & Privacy Reporting Standard Development
ESG DX Framework Development
Issues with Current ESG Performance Evaluation
ESG DX for ESG Management & Investment
WEF/IBC Metrics & Disclosure Standard
SASB Materiality Map
How to Determine Materiality?
ESG DX Framework for Metrics Digitalization & Reporting Automation Exploiting Existing IT/Digital Technology System
ESG DX Framework for ESG Metrics Data Governance
ESG DX Framework for Business Innovation & Growth
ESG DX Framework based on AI+Blockchain+IoT Convergence
ESG DX Framework for New Deal Project in S. Korea
ESG DX Forum
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Internet of Things (IoT) patents can provide insights regarding the state of the art and technical details of the IoTinnovations. Following patent analysis is based on TechIPm’s patent research for the most promising IoT startups that are listed in CB Insights’ 2017 The Industrial IoT: 125+ Startups Report (https://www.cbinsights.com/research/top-startups-iiot/).
Metaverse - The 'Killer App' for 5G, 6G and BeyondAnand Bhojan
"Metaverse - The 'Killer App' for 5G, 6G and Beyond":
With the growing popularity of X-Reality (VR/AR/MR/Metaverse) generation of global media-data is expected to accelerate at much higher rate and they will drive innovations and advancements in mobile networks. In this talk, challenges in Metaverse and we will explore suitable system architectures for streaming and analytics for Metaverse with the 5G edge nodes.
The revolutionary companies to watch edition 1Merry D'souza
In this edition of Insights Success, we bring you, RevolutionaryCompanies to Watch. These companies have built a name for themselves by delivering quality products and services consistently over years.
Happy Reading!
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.
Top machine learning trends for 2022 and beyondArpitGautam20
Exciting Machine Learning Trends that will emerge in 2022 & beyond and redefine the way ML Models & ML Technologies are used by enterprises. https://arsr.tech/top-machine-learning-trends-for-2022-and-beyond/
future_trends_in_software_development_to_watch_in_2024.pptxsarah david
Elevate services with AI and Machine Learning integration, explore Cloud Computing's $1 trillion surge, and adapt to IoT's 65 billion devices. Embrace cross-platform development with Flutter and React Native. Unlock Blockchain's potential beyond cryptocurrency. Ride the IT outsourcing wave, poised to surpass $700 billion. Prioritize ethical AI practices amid government scrutiny. Join the green revolution with sustainable software development. Stay competitive in India's tech surge. Transform your approach—2024 demands it!
Top software development trends of 2021*instinctools
The technologies that businesses use today are bound to the new world paradigm and capable of adapting to it. Here are some trending technologies that can easily help companies adjust to a digital business world 2.0 in just a short time.
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Top Strategic Technology Trends for 2022.docxAdvance Tech
Strategic technology trends can be difficult to predict, but many technology observers think that the 2024 Olympics and the autonomous cars of the 2020s are inevitable.
Regardless, strategic technology trends can inspire companies and entrepreneurs looking to maximize their exposure and reach, increase their revenue, and drive new products and services.
Several technologies will be an important part of the 2022 strategy of any large firm, including software, cloud computing, and mobile technology.
A discussion that the following is the main focus on the impact of these technologies on the business functions of large firms and their future strategies. We finally brought together the sectors that will largely influence the future world economy in this post.
Strategic technology is the combination of strategic thinking, best practices, and financial effectiveness.
https://advancetech.info/gartners-top-10-strategic-technology-trends-for-2022/
future_trends_in_software_development_to_watch_in_2024.pdfsarah david
Elevate services with AI and Machine Learning integration, explore Cloud Computing's $1 trillion surge, and adapt to IoT's 65 billion devices. Embrace cross-platform development with Flutter and React Native. Unlock Blockchain's potential beyond cryptocurrency. Ride the IT outsourcing wave, poised to surpass $700 billion. Prioritize ethical AI practices amid government scrutiny. Join the green revolution with sustainable software development. Stay competitive in India's tech surge. Transform your approach—2024 demands it!
Similar to NVIDIA GTC21 AI Conference Highlights (20)
Intangible assets, which account for up to 90% of a company's value, especially patents, which make up the largest proportion of these assets, are hardly ever utilized for corporate value creation despite their value. In this presentation, I introduce patent management solutions for the development of patents that can contribute to corporate value creation, using the latest digital technologies such as AI, blockchain, and Web 3.0. I also introduce measures to maximize the financial use of patent assets secured through such patent management. In particular, I will look into the domestic and overseas trends of STO (Security Token Offering), which have recently been gaining attention in S. Korea, and learn about strategies and methods for patent asset STO.
The Metaverse x AI x Web3 x Sustainability convergence presents a future vision that transforms how we interact with the digital realm, combining the expansive, immersive qualities of the Metaverse, the advanced computational abilities of AI, the decentralized nature of Web3, and the global imperative of sustainability.
Metaverse and AI Integration: AI technologies shape the Metaverse to be an immersive, interactive, and deeply engaging digital universe. Tools like the Meta AI Builder Bot, Nvidia's GANverse3D/GET3D, and Magic3D create 3D environments and objects, contributing to the Metaverse's realism. Lifelike human avatars, AI-powered digital fashion design, and immersive shopping experiences further enrich user engagement. Additionally, the Metaverse can become a testing ground for AI innovation, enabling developers to leverage its vast data generation and system testing capabilities.
AI and Web3 Integration: AI fortifies the decentralized Web3 ecosystem, creating unique digital assets for Non-Fungible Tokens (NFTs) and potential markets within the Metaverse. Furthermore, AI's capability to automate DeFi processes paves the way for more efficient, accessible financial services in the decentralized digital economy.
Web3 and Metaverse Integration: Blockchain technologies, the backbone of Web3, could be woven into the fabric of the Metaverse, giving rise to novel, decentralized commerce systems. It can enable peer-to-peer transactions and build decentralized marketplaces, providing users with greater control over their economic interactions in the virtual realm.
Metaverse and Sustainability Integration: The Metaverse offers a virtual platform to drive sustainable initiatives, reducing real-world resource consumption. In the Metaverse, renewable energy systems could be simulated and managed, virtual stores could advocate for sustainable products, and virtual factories could optimize sustainable manufacturing processes and supply chains. Furthermore, it could serve as a prototyping platform for sustainable smart cities, providing an efficient way to plan, simulate, and refine before real-world implementation.
To conclude, the convergence of Metaverse, AI, Web3, and Sustainability initiates a transformative movement toward a digital ecosystem that's immersive, intelligent, decentralized, and sustainable. This synergy could redefine digital experiences, promote efficient and fair economic interactions, and support global sustainability goals, signifying a new dawn in our digital evolution.
Tokenization, securitization, and monetization of real-world assets refer to the process of converting traditional assets into digital assets that can be traded, managed, and invested in a new way. Tokenization involves the creation of a digital token that represents ownership or a proof of authenticity of a real-world asset. The token can be traded on blockchain-based platforms, providing a secure and transparent record of ownership and enabling the creation of new markets for these assets. Securitization refers to the process of pooling together a set of assets and creating new securities backed by the underlying assets. In the context of tokenization, securitization involves the creation of asset-backed tokens that represent ownership in a portfolio of assets. Monetization refers to the process of generating revenue from an asset. In the context of tokenization and securitization, monetization can involve selling tokens or securities, licensing assets, or generating income from the underlying assets.
This webinar is designed to explore the tokenization, securitization, and monetization of real-world assets that have the potential to revolutionize the way we trade, manage, and invest in real-world assets, and to create new markets and opportunities for investors and asset owners.
Agenda:
Asset‐Backed Tokens
Security Token Offering (STO)
Securitization of Real-World Assets
NFT & DeFi for Securitization and Monetization of Real-World Assets
Metaverse for Monetization of Real-World Assets
Case Studies: Real Estates, Securities, Intangible Assets
IP Asset Tokenization, Valuation, Monetization: IPwe SIAM Platform
Patent information can be utilized in various ways depending on how it is understood. I have devised a method to extract useful insights for the development of new products or services from patents in specific technology fields by using the analysis and cognition capabilities of GPT-4 based ChatGPT. I have applied this to the fields of generative AI, metaverse, and Web3-based fintech.
For the case study, in the generative AI field, I examined Google's patent US10452978 "Attention-based sequence transduction neural networks" (this patent describes the transformer architecture, which is the basis of most large language models (LLMs) for generative AI); in the metaverse field, I looked at Meta's patent US11302063 "3D conversations in an artificial reality environment"; and in the Web3-based fintech field, I explored nChain's patent US10776761 "Virtual currency system."
I input into ChatGPT a guideline consisting of five key steps: identifying the main purpose of the patent invention, summarizing the technological innovations in the patent claims, describing potential products or services based on the technology, identifying the main industry participants, and evaluating competitive advantages. For more details, please refer to the attached file and evaluate the level of results at your discretion.
The outputs generated from the method described can provide valuable insights for various business applications:
Patent licensing promotion: By identifying the main purpose, technological innovations, and potential products or services related to a patent, businesses can better understand the value proposition of their intellectual property. This information can be used to showcase the benefits of the patented technology to potential licensees, making it more appealing for them to enter into licensing agreements. Thus, you can more effectively promote patent licensing.
Finding potential infringement: Summarizing the technological innovations in the patent claims helps businesses clearly understand the scope of their intellectual property protection. By comparing this information with competing products or services in the market, they can identify potential infringement cases and take appropriate legal actions to protect their intellectual property.
M&A target identification: Evaluating competitive advantages and identifying the main industry participants can help businesses spot potential acquisition targets. Companies with complementary technologies, strong market presence, or unique intellectual property could provide strategic opportunities for growth through mergers and acquisitions.
Product or service market fit: Describing potential products or services based on the patented technology can help businesses identify new opportunities for product development or market expansion. By understanding the potential applications and market demand for a particular technology, businesses can better tailor their offerings to meet customer needs.
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.
Fame Fashion NFT Monetization Platform
Patent pending Fame fashion NFT monetization platform (FameFiTM) is a core element of the fame platform.
FameFiTM is designed to provide most innovative fashion monetization solution that can maximize opportunities and resolve many challenges in fashion NFT monetization.
FameFiTM is designed to employ various innovative monetization methods including fashion IP NFT licensing, securitization and NFTFi for maximizing monetary rewards to the Fame ecosystem/community members and for enabling financially sustainable Fame metaverse fashion ecosystem development.
FameFiTM is designed to resolve many legal issues in fashion NFT monetization and overcome several huddles in the fashion NFT valuation.
FameFiTM is designed to innovate the fashion NFT value creation through NFT scarcity, utility and sustainable tokenomics development.
C: The metaverse is designed to give like-minded communities of common interests digital sandboxes to play, earn, own, and socialize.
U: The decentralized economy is user controlled, not centrally governed.
T: The metaverse experience is possible through Web 3.0 technology, such as blockchain, 5G networks, VR, AR, and cloud computing.
E: Experiences and interactions give NFTs greater utility, which drives greater value.
R: A connection to the real world gives the metaverse value beyond entertainment as it augments real-world experiences and offers the potential for real financial gains as well.
Fame Universe (https://fameuniverse.xyz/)
Fame is a platform builder that hyper connecting fashion “From Physical to Digital And From Digital to Physical.”
Fame’s mission is to lead the “Sustainable Metaverse Fashion Ecosystem” that nourishes existing physical and digital fashion universes where we can build, create, enjoy, play, earn and shop in a sustainable way.
Fame Platform
Fame platform is a sustainable metaverse fashion ecosystem building platform that provides a play ground where the ecosystem players and stakeholders can co-create a sustainable metaverse fashion ecosystem.
Fame platform provides the interfaces for the ecosystem players and stakeholders can cooperate synergetically to build sustainable metaverse fashion ecosystem more efficiently and effectively.
Fame platform provides/integrates the tools/solutions/knowledge/expertise for supporting a sustainable metaverse fashion ecosystem development.
Fame Platform Design
Fame platform is designed to provide a simple way of embracing digital/web3 fashion business for legacy/web2 fashion business.
Fame platform is designed to provide a community building solution that the ecosystem players and stakeholders can participate with self-sovereignty and consensus.
Fame platform is designed to employ various innovative monetization methods for increasing market scalability.
Fame platform is designed to be modular considering current technology limitations and emerging technology expectations.
Fame platform is designed to resolve fashion’s inherent sustainability/circularity issues.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.