Contents
I. AI, Blockchain, IoT Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Technology Innovation Evolution
3. Technology Innovation Status in Innovation Country
4. Technology Innovation Status in CPC Classification
5. Technology Innovation Status in Specific Technology
A. Deep RL Technology Innovation Status
B. Deep Learning for Autonomous Vehicle Technology Innovation Status
C. Deep Learning for 5G Technology Innovation Status
D. Deep Learning for Cybersecurity Technology Innovation Status
E. Blockchain Privacy Technology Innovation Status
F. Blockchain Interoperability Technology Innovation Status
G. Blockchain DID Technology Innovation Status
H. Blockchain Toknization Technology Innovation Status
II. AI Blockchain IoT Convergence Technology Innovation Status
1. Technology Innovation Status in Innovation Entity
2. Convergence Technology Innovation Status in Convergence Field
3. Convergence Technology Innovation Evolution
4. Technology Innovation Status in Innovation Country
5. Technology Innovation Status in CPC Classification
6. Technology Innovation Status in Specific Application
Privacy-preserving Blockchain-based AI Data/Model Marketplace
Blockchain-based Decentralized Machine Learning Platform
Blockchain-based Secure Telehealth-diagnostic System
Peer-to-Peer Micro-Loan Transaction System
Predictive Maintenance Platform for Industrial Machine using Industrial IoT
Blockchain Augmented IoT System for Dynamic Supply Chain Tracking
Decentralized Energy Management Utilizing Blockchain Technology
Provisioning Edge Devices in Mobile Carrier Network as Compute Nodes in Blockchain Network
Distributed Handoff-related Processing for Wireless Networks
III. Appendix
1. AI Blockchain IoT Convergence AT A Glance
2. AI, Blockchain, IoT for Finance AT A Glance
3. AI, Blockchain, IoT for Healthcare AT A Glance
4. 5G Based AI + Blockchain + IoT Convergence AT A Glance
Fourth Industrial Revolution & Data Economy
AI/Blockchain/IoT/Big Data Introduction
AI/Blockchain/IoT Technology Innovation Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
AI/Blockchain/IoT Technology Innovation vs. Privacy Protection
AI/Blockchain/IoT Business Strategy & BM Development
Startup Strategy
AI + Blockchain + IoT Technology Convergence Introduction
AI + Blockchain + IoT Convergence System Development Demo
AI + Blockchain + IoT Convergence System for Digital New Deal
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. AI, Blockchain, IoT Convergence Use Case System Implementation Examples
1. Blockchain-based Privacy-Preserving Federated Learning System
2. Blockchain-based Decentralized IoT & AI Data Marketplace
3. Blockchain-based Trustworthy AI & IoT Systems
4. Blockchain-based Decentralized Parallel Edge Machine Learning
5. Predictive Maintenance Platform for Industrial Machine using Industrial IoT
6. AI+Blockchain System for Car Sharing Service
7. Connected Autonomous Vehicle Communication Management System
8. 5G-based AI+Blockchain+IoT Edge Computing System
AI/Robotics
1. Representation Learning for Natural Language Processing (NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based Robot Control
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management
AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming
Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins
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
IoT–smart contracts in data trusted exchange supplied chain based on block ch...IJECEIAES
Internet of Things (IoT) assumes a critical part in the advancement of different fields. The IoT data trusted exchange in recent year extend of uses influence an awesome request and increasing scale. In such a platform, exchange the data sets that they require and specialist organization can search. However, the enough trust as the third-party mediators for data exchange in centralized infrastructure cannot provide. This paper proposes a blockchain for IoT data trusted exchange based on decentralized solution. In particular, the fundamental standards of blockchain in verify manner, individuals can communicate with each other without a confided in mediator intermediary. Blockchain enable us to have a distributed, digital ledger. IoT (Internet of Things) sensor devices (zigbee) utilizing blockchain technology to assert public availability of temperature records, tracking location shipment, humidity, preventing damage, data immutability. The sensor devices looking the temperature, location, damage of each parcel during the shipment to completely guarantee directions. In blockchain all data is got moved from one position to another, where a smart contract assesses against the product attributes. Ethereum blockchain and smart contracts atlast it gets through knowledge a design to be copied and presents its decentralized distributed digital ledger, auditable, transparent, features visually.
Fourth Industrial Revolution & Data Economy
AI/Blockchain/IoT/Big Data Introduction
AI/Blockchain/IoT Technology Innovation Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
AI/Blockchain/IoT Technology Innovation vs. Privacy Protection
AI/Blockchain/IoT Business Strategy & BM Development
Startup Strategy
AI + Blockchain + IoT Technology Convergence Introduction
AI + Blockchain + IoT Convergence System Development Demo
AI + Blockchain + IoT Convergence System for Digital New Deal
Contents
I. AI, Blockchain, IoT, and Their Convergence Technology Innovation Status
II. AI, Blockchain, IoT Convergence Use Case System Implementation Examples
1. Blockchain-based Privacy-Preserving Federated Learning System
2. Blockchain-based Decentralized IoT & AI Data Marketplace
3. Blockchain-based Trustworthy AI & IoT Systems
4. Blockchain-based Decentralized Parallel Edge Machine Learning
5. Predictive Maintenance Platform for Industrial Machine using Industrial IoT
6. AI+Blockchain System for Car Sharing Service
7. Connected Autonomous Vehicle Communication Management System
8. 5G-based AI+Blockchain+IoT Edge Computing System
AI/Robotics
1. Representation Learning for Natural Language Processing (NLP)
2. Automated Machine Learning (AutoML)
3. Artificial Intelligence for Security
4. Artificial Intelligence Business Applications
5. Unsupervised Machine Learning for Knowledge Discovery
6. AI based Robot Control
7. Machine Learning for Robotics
8. Ethics in Robotics and AI
AI+Blockchain
AI & Blockchain for Cognitive Radio Dynamic Spectrum Management
AI+IoT
Machine Learning for Cyber Physical Systems
Blockchain
1. Blockchain and Crypto Currency
2. Bitcoin and Beyond
IoT
1.Scalable Internet of Things
2.Energy Internet of Things (eIoT)
3. Internet of Things Security
Big data/Data Science
1. Big Data in Context
2. Data Science for Global Health
3. Data Journeys in the Sciences
4. Python Programming
Cybersecurity/Data Security
1. Cybersecurity for Business
2. Security Infrastructure Technology for Integrated Utilization of Big Data
Digital Transformation
1. Digital Transformation in Semiconductor Manufacturing
2. Digital Twins
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
IoT–smart contracts in data trusted exchange supplied chain based on block ch...IJECEIAES
Internet of Things (IoT) assumes a critical part in the advancement of different fields. The IoT data trusted exchange in recent year extend of uses influence an awesome request and increasing scale. In such a platform, exchange the data sets that they require and specialist organization can search. However, the enough trust as the third-party mediators for data exchange in centralized infrastructure cannot provide. This paper proposes a blockchain for IoT data trusted exchange based on decentralized solution. In particular, the fundamental standards of blockchain in verify manner, individuals can communicate with each other without a confided in mediator intermediary. Blockchain enable us to have a distributed, digital ledger. IoT (Internet of Things) sensor devices (zigbee) utilizing blockchain technology to assert public availability of temperature records, tracking location shipment, humidity, preventing damage, data immutability. The sensor devices looking the temperature, location, damage of each parcel during the shipment to completely guarantee directions. In blockchain all data is got moved from one position to another, where a smart contract assesses against the product attributes. Ethereum blockchain and smart contracts atlast it gets through knowledge a design to be copied and presents its decentralized distributed digital ledger, auditable, transparent, features visually.
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
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
The Six Biggest Blockchain Trends Everyone Should Know About In 2021Bernard Marr
Blockchain has been one of the most talked-about tech trends of the last few years. As with many other trends that were important before the pandemic hit, it didn't make as many headlines in 2021 as it has done previously. But development has been ongoing and the year saw continued adoption of the technology throughout many industries and sectors.
Internet of Things Corporate PresentationMomentumPR
Internet of Things Inc. (TSX-V: ITT) is an IoT software and solutions provider acquiring and implementing strategic disruptive solutions targeting the Industrial IoT markets including: manufacturing, agriculture, energy management, transportation.
There are thirteen technologies growing up quickly.
1) Blockchain
2) 5G Network
3) Autonomous Driving
4) Human Augmentation
5) Distributed Cloud
6) DARQ Age
7) Personal Profiling
8) AI Products
9) Data Policing
10) Momentary Markets
11) Automation
12) Reskilling Human Workforce
13) Medical Upgrade
Technology is perhaps the greatest agent of change in the modern world. While never without risk,
technological breakthroughs promise innovative solutions to the most pressing global challenges of
our time. From batteries that can provide power to whole villages to microchips that could take the
place of organs in medical research, this year’s 10 emerging technologies offer a vivid glimpse of the
power of innovation to improve lives, transform industries and safeguard our planet.
To compile this list, the World Economic Forum’s Meta-Council on Emerging Technologies, a panel
of global experts, draws on the collective expertise of the Forum’s communities to identify the most
important recent technological trends. By doing so, the Meta-Council aims to raise awareness of
their potential and contribute to closing the gaps in investment, regulation and public understanding
that so often thwart progress.
[Content]
Part I.
1. ESG Ecosystem
ESG Management Matters?
ESG Investment Matters?
ESG Knowledge Map
2. ESG DX & Cybersecurity
ESG Digital Transformation (DX)
The Fourth Wave of Environmentalism
Cybersecurity Matters?
3. Cybersecurity & Privacy Protection in ESG
ESG Cybersecurity & Privacy Matters?
ESG Cybersecurity & Privacy Reporting Standard
ESG Performance Score - Materiality Comparisons Across Industries
Global Standard for Reporting Cybersecurity & Privacy
Global Government Regulations of Personal Information
Cybersecurity & Privacy Reporting Standard Development
Part II.
1. Cybersecurity & Privacy Protection by Zeus & Xanadu
Zeus Cybersecurity Solution
Zeus Cybersecurity Solution Demo for Defense Against Cyber Attacks
Xanadu Big Data NoSQL DB/Cloud Computing Solution Demo for Protection against Ransomware
Xanadu-Blockchain Integration Demo for Secure Health Data Sharing
2. AI, Blockchain, IoT for ESG DX
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
3. AI, Blockchain, IoT for Cybersecurity & Privacy Protection
Cyber Attack Surface
AI, Blockchain, IoT GDPR Compliance AT A Glance
Cybersecurity & Privacy in AI + Blockchain + IoT Integration
Cybersecurity & Privacy Innovation Insights from Patents
AI Patents in Cybersecurity & Privacy Protection
Cybersecurity & Privacy Innovation Insights from Patents
Exciting io t trends and predictions to look out for in 2022ArpitGautam20
Here are some emerging IoT Trends for 2022 that startups, SMEs, leading organizations and technology professionals should know about. https://arsr.tech/exciting-iot-trends-and-predictions-to-look-out-for-in-2022/
We are at the threshold of 4th industry revolution. The economy will be digital. Data will be the most important commodity. The infrastructures to collect, transmit and process data will be the determining factor of the strength of the future economy.
The Internet of Things (IoT) is actively shaping both the industrial and consumer worlds. Smart tech finds its way to every business and consumer domain there is — from retail to healthcare, from finances to logistics — and a missed opportunity strategically employed by a competitor can easily qualify as a long-term failure for companies who don’t innovate.
Check out more articles at- https://insideaiml.com/articles
Fourth Industrial Revolution & Data Economy
-The Fourth Industrial Revolution?
-Data Economy
AI/Blockchain/IoT/Big Data Introduction
-Artificial Intelligence Revolution
-Deep Learning Introduction
-Blockchain Components
-Blockchain Platform: Ethereum
-Blockchain Platform: Hyperledger
-IoT Introduction
-IoT Key Applications
-IoT Data Acquisition & Processing Flow
-Big Data Analysis Flow
-Big Data Use Cases
AI/Blockchain/IoT Technology Innovation Insights from Patents
-Technology Innovation Insights from Patents
-Top 100 AI Technology Innovation Entities
-Top 100 Blockchain Technology Innovation Entities
-Top 100 IoT Technology Innovation Entities
-AI/Blockchain/IoT Patent Application Activity Chart
-AI Technology Innovation Entities HQ Landscape
-Blockchain Technology Innovation Entities HQ Landscape
-IoT Technology Innovation Entities HQ Landscape
-AI Key Technology Landscape
-Blockchain Key Technology Landscape
-IoT Key Technology Landscape
-R&D/Product/Service Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
-AI Innovation Frontline
-Future of AI
-Emotion AI Chatbot Demo
-Will AI Patent Attorney Be Possible?
-Blockchain Innovation Frontline: Issues with Public Chain
-Hyperledger Fabric Production Grade Network Implementation
-Token Transactions over Production Grade HF Network
-Blockchain Innovation Frontline: DeFi
-Blockchain Innovation Frontline: DID(Self-Sovereign Identity)
-DID(Self-Sovereign Identity) Use Cases
-IoT Innovation Frontline: 5G & Edge AI
AI + Blockchain + IoT Technology Convergence Introduction
-AI + Blockchain + IoT Convergence
-AI+Blockchain+IoT Convergence AT A Glance
-Convergence Technology Innovation Insights from Patents
-AI, Blockchain, IoT for Finance AT A Glance
-AI, Blockchain, IoT for Healthcare AT A Glance
-5G Based AI + Blockchain + IoT Convergence AT A Glance
-AI + Blockchain + IoT Convergence Platform Development
AI + Blockchain + IoT Convergence System Development Demo
-AI + Blockchain + IoT Integration System for Digital Health
-Automated Diabetic Retinopathy Classification
-Big Data Deep Learning Demo for Classification
-Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
-Medical CBIR System Demo for COVID-19 X-ray Analysis
-Blockchain System Demo for Digital Asset Transaction
-Decentralized Cloud Storage for Data Center
-Blockchain System Demo for Medical Data Sharing
-Demo Video Link
AI + Blockchain + IoT Convergence System for Digital New Deal
-Digital New Deal Introduction
-Digital New Deal Projects
-Stronger Integration of DNA throughout the Economy
-Fostering the Untact Industry
-AI+Blockchain+IoT Convergence as Catalyst for Digital New Deal
-AI+Blockchain+IoT Convergence for Emerging Government Projects
The Internet of Things (IoT for Beginners Guide)Ashish Kumar
You might have heard plenty of jargons related to the internet, but the one that has become a buzzword recently and is broken into the mainstream as potentially the most significant term for the way we communicate, work and live in the near future is: The Internet of Things (IoT). Today, everyone is talking about the Internet of Things (IoT) from the newspaper to tech blogs. But what, exactly, is the IoT for beginners? Let’s find out. For more details visit: https://goo.gl/qT4LYA
The Internet of Things (IoT) is an umbrella term which covers a broad repertoire of sensors, applications, technologies, and use cases as they are enabled by the network of objects and devices with an IP address (Internet Protocol). Smart locks, smart cars, smart security system, smart thermostats, and smart health monitor are some of the examples of The Internet of Things (IoT) you’ve probably heard recently, and you’re going to hear more as the year progresses.
The Connected world evolves and more elements of our analogue world and being connected to our digital world. WE all need to understand this mega-trend and the drivers for IoT in 2017 and beyond
What we got covered?
1) What Is Industrial IoT
2) Application of Industrial IOT
3) Machine To Machine (M2M)
4) Benefits of Industrial IoT
5) Vendors in Industrial IoT
6) Features of Industrial IoT
Top 100 IoT technology innovation entities insights from patents!
Patents are a good information resource for the state of the art of IoT technology innovation insights. Patents that specifically describe the major IoT technologies are a good indicator of the IoT innovations in a specific innovation entity. To find IoT technology innovation status, patent applications in the USPTO during the period of January 1, 2009 – June 30, 2020 in priority date that specifically describe the major IoT technologies are searched and reviewed. 16,000 published patent applications that are related to the key IoT technology innovation are selected for detail analysis.
Top 100 IoT technology innovation entities are selected based on their number of published patent applications.
Following figure shows the landscape of the top 100 IoT technology innovation entities with respect to number of published patent applications. The top 100 IoT technology innovation entities represent 8,400 patent applications.
The top 5 innovation leaders (IBM, LG Electronics, Qualcomm, Samsung Electronics, Intel) account for 2,850 patent applications. The size of bubble chat for IBM represents 1018 patent applications.
Indented IoT innovations status:Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that specifically describe some relationships with the IoT in their disclosures.
Specific technologies, products, and services regarding the indented IoT innovations.
Landscape for the issued patents and published applications in the USPTO as of 4Q 2015 that are related to the M2M communication.
Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that are related to the smart home, connected car, and connected health applications.
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
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
The Six Biggest Blockchain Trends Everyone Should Know About In 2021Bernard Marr
Blockchain has been one of the most talked-about tech trends of the last few years. As with many other trends that were important before the pandemic hit, it didn't make as many headlines in 2021 as it has done previously. But development has been ongoing and the year saw continued adoption of the technology throughout many industries and sectors.
Internet of Things Corporate PresentationMomentumPR
Internet of Things Inc. (TSX-V: ITT) is an IoT software and solutions provider acquiring and implementing strategic disruptive solutions targeting the Industrial IoT markets including: manufacturing, agriculture, energy management, transportation.
There are thirteen technologies growing up quickly.
1) Blockchain
2) 5G Network
3) Autonomous Driving
4) Human Augmentation
5) Distributed Cloud
6) DARQ Age
7) Personal Profiling
8) AI Products
9) Data Policing
10) Momentary Markets
11) Automation
12) Reskilling Human Workforce
13) Medical Upgrade
Technology is perhaps the greatest agent of change in the modern world. While never without risk,
technological breakthroughs promise innovative solutions to the most pressing global challenges of
our time. From batteries that can provide power to whole villages to microchips that could take the
place of organs in medical research, this year’s 10 emerging technologies offer a vivid glimpse of the
power of innovation to improve lives, transform industries and safeguard our planet.
To compile this list, the World Economic Forum’s Meta-Council on Emerging Technologies, a panel
of global experts, draws on the collective expertise of the Forum’s communities to identify the most
important recent technological trends. By doing so, the Meta-Council aims to raise awareness of
their potential and contribute to closing the gaps in investment, regulation and public understanding
that so often thwart progress.
[Content]
Part I.
1. ESG Ecosystem
ESG Management Matters?
ESG Investment Matters?
ESG Knowledge Map
2. ESG DX & Cybersecurity
ESG Digital Transformation (DX)
The Fourth Wave of Environmentalism
Cybersecurity Matters?
3. Cybersecurity & Privacy Protection in ESG
ESG Cybersecurity & Privacy Matters?
ESG Cybersecurity & Privacy Reporting Standard
ESG Performance Score - Materiality Comparisons Across Industries
Global Standard for Reporting Cybersecurity & Privacy
Global Government Regulations of Personal Information
Cybersecurity & Privacy Reporting Standard Development
Part II.
1. Cybersecurity & Privacy Protection by Zeus & Xanadu
Zeus Cybersecurity Solution
Zeus Cybersecurity Solution Demo for Defense Against Cyber Attacks
Xanadu Big Data NoSQL DB/Cloud Computing Solution Demo for Protection against Ransomware
Xanadu-Blockchain Integration Demo for Secure Health Data Sharing
2. AI, Blockchain, IoT for ESG DX
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
3. AI, Blockchain, IoT for Cybersecurity & Privacy Protection
Cyber Attack Surface
AI, Blockchain, IoT GDPR Compliance AT A Glance
Cybersecurity & Privacy in AI + Blockchain + IoT Integration
Cybersecurity & Privacy Innovation Insights from Patents
AI Patents in Cybersecurity & Privacy Protection
Cybersecurity & Privacy Innovation Insights from Patents
Exciting io t trends and predictions to look out for in 2022ArpitGautam20
Here are some emerging IoT Trends for 2022 that startups, SMEs, leading organizations and technology professionals should know about. https://arsr.tech/exciting-iot-trends-and-predictions-to-look-out-for-in-2022/
We are at the threshold of 4th industry revolution. The economy will be digital. Data will be the most important commodity. The infrastructures to collect, transmit and process data will be the determining factor of the strength of the future economy.
The Internet of Things (IoT) is actively shaping both the industrial and consumer worlds. Smart tech finds its way to every business and consumer domain there is — from retail to healthcare, from finances to logistics — and a missed opportunity strategically employed by a competitor can easily qualify as a long-term failure for companies who don’t innovate.
Check out more articles at- https://insideaiml.com/articles
Fourth Industrial Revolution & Data Economy
-The Fourth Industrial Revolution?
-Data Economy
AI/Blockchain/IoT/Big Data Introduction
-Artificial Intelligence Revolution
-Deep Learning Introduction
-Blockchain Components
-Blockchain Platform: Ethereum
-Blockchain Platform: Hyperledger
-IoT Introduction
-IoT Key Applications
-IoT Data Acquisition & Processing Flow
-Big Data Analysis Flow
-Big Data Use Cases
AI/Blockchain/IoT Technology Innovation Insights from Patents
-Technology Innovation Insights from Patents
-Top 100 AI Technology Innovation Entities
-Top 100 Blockchain Technology Innovation Entities
-Top 100 IoT Technology Innovation Entities
-AI/Blockchain/IoT Patent Application Activity Chart
-AI Technology Innovation Entities HQ Landscape
-Blockchain Technology Innovation Entities HQ Landscape
-IoT Technology Innovation Entities HQ Landscape
-AI Key Technology Landscape
-Blockchain Key Technology Landscape
-IoT Key Technology Landscape
-R&D/Product/Service Insights from Patents
AI/Blockchain/IoT Technology Innovation Frontline
-AI Innovation Frontline
-Future of AI
-Emotion AI Chatbot Demo
-Will AI Patent Attorney Be Possible?
-Blockchain Innovation Frontline: Issues with Public Chain
-Hyperledger Fabric Production Grade Network Implementation
-Token Transactions over Production Grade HF Network
-Blockchain Innovation Frontline: DeFi
-Blockchain Innovation Frontline: DID(Self-Sovereign Identity)
-DID(Self-Sovereign Identity) Use Cases
-IoT Innovation Frontline: 5G & Edge AI
AI + Blockchain + IoT Technology Convergence Introduction
-AI + Blockchain + IoT Convergence
-AI+Blockchain+IoT Convergence AT A Glance
-Convergence Technology Innovation Insights from Patents
-AI, Blockchain, IoT for Finance AT A Glance
-AI, Blockchain, IoT for Healthcare AT A Glance
-5G Based AI + Blockchain + IoT Convergence AT A Glance
-AI + Blockchain + IoT Convergence Platform Development
AI + Blockchain + IoT Convergence System Development Demo
-AI + Blockchain + IoT Integration System for Digital Health
-Automated Diabetic Retinopathy Classification
-Big Data Deep Learning Demo for Classification
-Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
-Medical CBIR System Demo for COVID-19 X-ray Analysis
-Blockchain System Demo for Digital Asset Transaction
-Decentralized Cloud Storage for Data Center
-Blockchain System Demo for Medical Data Sharing
-Demo Video Link
AI + Blockchain + IoT Convergence System for Digital New Deal
-Digital New Deal Introduction
-Digital New Deal Projects
-Stronger Integration of DNA throughout the Economy
-Fostering the Untact Industry
-AI+Blockchain+IoT Convergence as Catalyst for Digital New Deal
-AI+Blockchain+IoT Convergence for Emerging Government Projects
The Internet of Things (IoT for Beginners Guide)Ashish Kumar
You might have heard plenty of jargons related to the internet, but the one that has become a buzzword recently and is broken into the mainstream as potentially the most significant term for the way we communicate, work and live in the near future is: The Internet of Things (IoT). Today, everyone is talking about the Internet of Things (IoT) from the newspaper to tech blogs. But what, exactly, is the IoT for beginners? Let’s find out. For more details visit: https://goo.gl/qT4LYA
The Internet of Things (IoT) is an umbrella term which covers a broad repertoire of sensors, applications, technologies, and use cases as they are enabled by the network of objects and devices with an IP address (Internet Protocol). Smart locks, smart cars, smart security system, smart thermostats, and smart health monitor are some of the examples of The Internet of Things (IoT) you’ve probably heard recently, and you’re going to hear more as the year progresses.
The Connected world evolves and more elements of our analogue world and being connected to our digital world. WE all need to understand this mega-trend and the drivers for IoT in 2017 and beyond
What we got covered?
1) What Is Industrial IoT
2) Application of Industrial IOT
3) Machine To Machine (M2M)
4) Benefits of Industrial IoT
5) Vendors in Industrial IoT
6) Features of Industrial IoT
Top 100 IoT technology innovation entities insights from patents!
Patents are a good information resource for the state of the art of IoT technology innovation insights. Patents that specifically describe the major IoT technologies are a good indicator of the IoT innovations in a specific innovation entity. To find IoT technology innovation status, patent applications in the USPTO during the period of January 1, 2009 – June 30, 2020 in priority date that specifically describe the major IoT technologies are searched and reviewed. 16,000 published patent applications that are related to the key IoT technology innovation are selected for detail analysis.
Top 100 IoT technology innovation entities are selected based on their number of published patent applications.
Following figure shows the landscape of the top 100 IoT technology innovation entities with respect to number of published patent applications. The top 100 IoT technology innovation entities represent 8,400 patent applications.
The top 5 innovation leaders (IBM, LG Electronics, Qualcomm, Samsung Electronics, Intel) account for 2,850 patent applications. The size of bubble chat for IBM represents 1018 patent applications.
Indented IoT innovations status:Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that specifically describe some relationships with the IoT in their disclosures.
Specific technologies, products, and services regarding the indented IoT innovations.
Landscape for the issued patents and published applications in the USPTO as of 4Q 2015 that are related to the M2M communication.
Landscape for the published patent applications and issued patents in the USPTO as of 4Q 2015 that are related to the smart home, connected car, and connected health applications.
Patent information can provide insights regarding the state of the art of the IoT innovations. Patent applications regarding the IoT innovations that specifically describe some (direct or indirect) relationships with the IoT are a good indicator of the indented IoT innovations in a specific innovation entity. To find the indented IoT innovations status, published patent applications and issued patents in the USPTO as of 4Q 2015 that specifically describe some relationships with the IoT in their disclosures are reviewed. More than 800 patent applications are selected. As show in the figure, the key indented IoT innovation players are Cisco, Samsung Electronics, Qualcomm, Convida Wireless, IBM, KETI, Ericsson, Belkin International, Microsoft, Tata Consultancy, and Intel.
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)
Patents are a good information resource for obtaining the state of the art of AI+Blockchain+IoT integration technology innovation insights.
I. AI+Blockchain+IoT Integration Technology Innovation Status
Patents that specifically describe the major AI+Blockchain+IoT integration technology are a good indicator of the AI+Blockchain+IoT integration innovations in a specific innovation entity. To find the AI+Blockchain+IoT integration technology innovation status, patent applications in the USPTO as of June 15, 2020 that specifically describe the major AI+Blockchain+IoT integration technology are searched and reviewed. 64 published patent applications that are related to the key AI+Blockchain+IoT integration technology innovation are selected for detail analysis.
II. AI+Blockchain+IoT Integration Technology Innovation Details
Patent information can provide many valuable insights that can be exploited for developing and implementing new technologies. Patents can also be exploited to identify new product/service development opportunities.
Blockchain for AI
AI for Blockchain
AI +Blockchain Integration
Blockchan for IoT
AI +Blockchain+IoT Integration
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/).
According to Research and Markets, there are more than 2000 companies that are selling IoT enabled products, playing a vital role in the IoT technology development or act as an enabler to the IoT business development. Consequently, as more and more business players compete to have the leadership in the emerging IoT market, many global high tech business leaders and start-ups are now participating in the development of patents for their IoT innovations competitively.
For example, as of October 15, 2015, more than 600 patent applications are filed in the USPTO that specially mentioned the IoT in their disclosures. Therefore, to have a winning strategy for developing IoT patents in alignment with the IoT market development is timely and very important. One essential factor in the strategic IoT patent development is to construe the patent disclosures to support future development of IoT businesses and commercial implementations of IoT innovations.
1. New Patent Development Opportunity Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
4. Monetization Exploiting Strategically Packaged Patent Portfolio
5. Development of Strategically Packaged Patent Portfolio Best Practice
6. Methodology for Developing Strategically Packaged Patent Portfolio
Top 100 blockchain technology innovation entities insights from patents!
Patents are a good information resource for obtaining the state of the art of blockchain technology innovation insights. Patents that specifically describe the major blockchain technologies are a good indicator of the blockchain innovations in a specific innovation entity. To find blockchain technology innovation status, patent applications in the USPTO during the period of January 1, 2010 – June 30, 2020 in priority date that specifically describe the major blockchain technologies are searched and reviewed. 4,000 published patent applications that are related to the key blockchain technology innovation are selected for detail analysis.
Top 100 blockchain technology innovation entities are selected based on their number of published patent applications. Following figure shows the landscape of the top 100 blockchain technology innovation entities with respect to number of published patent applications. The top 100 blockchain technology innovation entities represent 2,100 patent applications. The top 5 innovation leaders (IBM, Alibaba Group, Bank of America, Walmart, Mastercard) account for 895 patent applications. The size of bubble chat for IBM represents 412 patent applications.
1. New Patent Development Opportunity Analysis
2. New Patent Preparation & Prosecution Strategy
3. Strategic Patent Development Exploiting Existing Patents
IoT Smart Home Patents Data 2Q 2016 is a custom research of TechIPm, LLC (www.techipm.com) based on the analysis of the published patent applications and issued patents in the USPTO regarding the IoT (Internet of Things) smart home.
IoT Connected Car Patents Data 2Q 2016 is a custom research of TechIPm, LLC (www.techipm.com) based on the analysis of the published patent applications and issued patents in the USPTO regarding the IoT (Internet of Things) connected car.
IoT Connected Health Patents Data 2Q 2016 is a custom research of TechIPm, LLC (www.techipm.com) based on the analysis of the published patent applications and issued patents in the USPTO regarding the IoT (Internet of Things) connected health.
More than 70,000 university US issued patents and published patent applications are reviewed for finding the good candidates for the IoT strategically packaged patent portfolio. Even if the Internet of Things (IoT) gets a huge attention recently, the concept of interconnected devices and connecting billions of devices to the internet in the IoT is not new and has been researched for over 10 years. Thus, there may be a large number of patents (that were not intended for specific IoT application at the time of invention) that can be exploited for developing new IoT business by forming the strategically packaged patent portfolio for providing the new IoT value propositions. The strategically packaged patent portfolio is the collection of the existing patents that can be exploited for developing new products/services (and thus, new business) by integrating the value propositions of each patent of the portfolio. The strategically packaged patent portfolio can be exploited for monetization through patent sale, patent licensing, commercialization, spin-off, patent banking, and financing.
This report begins with an examination of the global IoT industry and continues by looking into the Chinese IoT industry and its innovators. The report concludes with an analysis of the possible future opportunities and implications that China's expanding IoT industry could entail for Finland.
Leading Players in IoT Microcontroller Market: Ken ResearchKen Research
According to Ken Research analysis, the IoT Microcontroller Market was valued at US$ 2 bn in 2017. It is estimated to reach a market size of ~US$ 3 bn by 2022 and is projected to reach ~US$ 6 bn by 2028. It is expected to record a CAGR of ~12% during the forecast period, due to the increasing number of IoT connections among consumer and enterprise sectors and the need for low-power, high-performance, and energy-efficient connected products.
IoT Meetup Hamburg 3 February 2015 - Getting Hamburg set-up for the Internet ...Knud Lasse Lueth
This is the presentation that I held at the 3rd IoT Meetup Hamburg on February 5, 2015.
The presentation includes a number of competitive intelligence analyses on the Internet of Things. It does not include the results from the breakout sessions.
IoT Meetup Hamburg 3 February 2015 - Getting Hamburg set-up for the Internet ...IoTAnalytics
This is the presentation that we held at the 3rd IoT Meetup Hamburg on February 5, 2015.
The presentation includes a number of competitive intelligence analyses on the Internet of Things. It does not include the results from the breakout sessions.
Goldman Sachs defines the IoT (Internet of Things) as the third wave of internet revolution: by connecting to the internet billions of devices, the IoT opens up a host of new business opportunities and challenges. According to McKinsey, the IoT has the potential to create up to $6 trillion economic value annually by 2025. TechIPm provides the expert consulting services for the IoT patent strategy/R&D/monetization.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.