This document provides an overview of blockchain technology and emerging applications. It discusses blockchain components and reference architecture. It also covers blockchain platforms like Ethereum and Hyperledger. The document outlines various blockchain use cases and emerging technologies like blockchain 3.0. It explores blockchain integration with IoT, AI, big data and 5G. The document also analyzes the blockchain patent landscape and provides insights from patents in different application areas like healthcare, manufacturing and finance. It identifies the top blockchain startups and examines their patenting activities and fundraising. Finally, it offers suggestions for blockchain software patent development strategy and best practices for claim drafting.
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
1. Blockchain/Big Data/AI/IoT:
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
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 Example
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
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
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 provides the intelligence and IoT delivers the data, while blockchain resolves the trust/security/privacy issues for the distributed AI+IoT system: AI provides a deeper analysis of real-time IoT data streams through Fog/edge computing to drive intelligent decision making; Blockchain offers a secure privacy-preserving data exchange between IoT devices; Decentralized AI market can be formed from the integration of blockchain, on-device AI and edge computing and IoT; Predictive analytics for data transaction can detect any fraud transaction for providing data security and protection
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
1. Blockchain/Big Data/AI/IoT:
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
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 Example
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
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
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 provides the intelligence and IoT delivers the data, while blockchain resolves the trust/security/privacy issues for the distributed AI+IoT system: AI provides a deeper analysis of real-time IoT data streams through Fog/edge computing to drive intelligent decision making; Blockchain offers a secure privacy-preserving data exchange between IoT devices; Decentralized AI market can be formed from the integration of blockchain, on-device AI and edge computing and IoT; Predictive analytics for data transaction can detect any fraud transaction for providing data security and protection
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.
Impact of the General Data Protection Regulation (GDPR) on Artificial Intelligence (AI)
Impact of the General Data Protection Regulation (GDPR) on Blockchain
Impact of the General Data Protection Regulation (GDPR) on IoT
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
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
I. Cryptocurrency Payment System for E-Commerce Applications
Secure Multi Coin Decentralized Wallet Live Demo
Emotion AI Chatbot Live Demo
E-Commerce Integration Live Demo
AI Chatbot Sentiment Analysis + Big Data Analytics
AI Chatbot Sentiment Analysis + Big Data Analytics Demo
Hyperledger Fabric Token Wallet Implementation
Hyperledger Fabric Token Wallet Implementation Demo
High Throughput Token Wallet Implementation Performance
II. Xanadu Based Healthcare Information Retrieval & Sharing System
Xanadu Based Big Data Archive
Xanadu based Medical CBIR System Live Demo for Diabetic Retinopathy Diagnosis
Blockchain-Xanadu Database Integration Live Demo
Intellectual Property Development
Patents are a good information resource for obtaining the state of the art of deep learning for digital twin technology innovation insights. Patents that specifically describe the major digital twin technologies/applications are a good indicator of the digital twin technology innovations in a specific innovation entity. To find the digital twin technology innovation status, patent applications in the USPTO as of September 15, 2021 that specifically describe the major technologies/applications in digital twin are searched and reviewed. 190 published patent applications that are related to the key digital twin technology innovation are selected for detail analysis.
Following figure shows the digital twin patent application landscape with respect to the innovation entity. As shown in the figure, the key digital twin innovation entities are General Electric, Siemens, Johnson Controls Technology, IBM, Toyota, CohesionIB, Honeywell, Philips, Rockwell Automation Technologies, and PTC.
Part I. Cryptocurrency Payment System for E-Commerce Applications
Secure Multi Coin Decentralized Wallet Demo
Emotion AI Chatbot Demo
E-Commerce Integration Demo
AI Chatbot Sentiment Analysis + Big Data Analytics
Hyperledger Fabric Token Wallet Implementation
High Throughput Token Wallet Implementation Performance
Hyperledger Fabric MainNet Prototype Implementation
Mobile Wallet Token Transaction over MainNet Prototype Demo
Part II. Xanadu Based Healthcare Information Retrieval & Sharing System
Xanadu Based Big Data Archive
Xanadu Introduction Video
Xanadu Use Case Demo
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Blockchain-Xanadu Database Integration Demo
Xanadu Base Big Data Deep Learning Demo
Intellectual Property Development
Blockchain for Drones
Blockchain for Autonomous Vehicles
Blockchain + AI for Healthcare
Blockchain + Augmented Reality Integration
Blockchain for IoT
Blockchain for Data Monetization
Blockchain + AI for Manufacturing
Information revolution is changing everything. Here is a snapshot of some critical technologies that are changing the world: IoT, Blockchain, Quantum Computing, AI, Cybersecurity, 5G,... resting on a foundation of Mobility, Cloud, and HPC.
This talk has evolved since 2011. Most recently, it was presented at the HPC-AI Advisory Council conference held at Stanford University in Feb-2018. A video of the talk is available on InsideHPC.com.
Contact OrionX.net if you'd like to request a speaker.
The conventional supply chain is plagued with various issues, most pressing among which is transparency or the lack of it thereof. Being a self-auditing distributed ledger that is accessible to all participants in the network and updated in real time, Blockchain brings in unprecedented levels of transparency to the supply chain. Moreover, its decentralized nature ensures that no single participant along the supply chain holds an unfair advantage or any influence on the data pertaining to the shipment.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
How Internet Of Things is changing Financial SectorSandeep Mishra
Internet of Things industry is developing rapidly and it provides people with a range of digital devices and sensors all around the world. As IoT is surrounding us in all fields of activity, banking area is also striving to make use of IoT and get some benefits.
FinTech is more important than ever when it comes to keeping up in the rapidly changing financial industry. Technologies such as cloud computing, data analytics, Artificial Intelligence (AI) and the Internet of Things (IoT) have the potential to cut costs, retain customers and protect against cyberthreats, as long as organizations are willing to invest in them.
See more: http://ms.spr.ly/6005pvK4x
AUSIS AI UNDERWRITING PLATFORM TRANSFORMING INSURANCEArtivatic.ai
Transforming Insurance with use of AI & ML. AUSIS Platform allows insurance to build risk assessment in real time for faster, customized and need based insurance issuance under 60 seconds. AUSIS is flagship product of Artivatic.
Convergence of IoT, AI and Blockchain
IoT, AI and Blockchain are Catalysts for Digital Transformation
A decentralized AI market is emerging from the combination of blockchain, on-device AI and Internet of Things (IoT).
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.
Impact of the General Data Protection Regulation (GDPR) on Artificial Intelligence (AI)
Impact of the General Data Protection Regulation (GDPR) on Blockchain
Impact of the General Data Protection Regulation (GDPR) on IoT
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
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
I. Cryptocurrency Payment System for E-Commerce Applications
Secure Multi Coin Decentralized Wallet Live Demo
Emotion AI Chatbot Live Demo
E-Commerce Integration Live Demo
AI Chatbot Sentiment Analysis + Big Data Analytics
AI Chatbot Sentiment Analysis + Big Data Analytics Demo
Hyperledger Fabric Token Wallet Implementation
Hyperledger Fabric Token Wallet Implementation Demo
High Throughput Token Wallet Implementation Performance
II. Xanadu Based Healthcare Information Retrieval & Sharing System
Xanadu Based Big Data Archive
Xanadu based Medical CBIR System Live Demo for Diabetic Retinopathy Diagnosis
Blockchain-Xanadu Database Integration Live Demo
Intellectual Property Development
Patents are a good information resource for obtaining the state of the art of deep learning for digital twin technology innovation insights. Patents that specifically describe the major digital twin technologies/applications are a good indicator of the digital twin technology innovations in a specific innovation entity. To find the digital twin technology innovation status, patent applications in the USPTO as of September 15, 2021 that specifically describe the major technologies/applications in digital twin are searched and reviewed. 190 published patent applications that are related to the key digital twin technology innovation are selected for detail analysis.
Following figure shows the digital twin patent application landscape with respect to the innovation entity. As shown in the figure, the key digital twin innovation entities are General Electric, Siemens, Johnson Controls Technology, IBM, Toyota, CohesionIB, Honeywell, Philips, Rockwell Automation Technologies, and PTC.
Part I. Cryptocurrency Payment System for E-Commerce Applications
Secure Multi Coin Decentralized Wallet Demo
Emotion AI Chatbot Demo
E-Commerce Integration Demo
AI Chatbot Sentiment Analysis + Big Data Analytics
Hyperledger Fabric Token Wallet Implementation
High Throughput Token Wallet Implementation Performance
Hyperledger Fabric MainNet Prototype Implementation
Mobile Wallet Token Transaction over MainNet Prototype Demo
Part II. Xanadu Based Healthcare Information Retrieval & Sharing System
Xanadu Based Big Data Archive
Xanadu Introduction Video
Xanadu Use Case Demo
Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis
Blockchain-Xanadu Database Integration Demo
Xanadu Base Big Data Deep Learning Demo
Intellectual Property Development
Blockchain for Drones
Blockchain for Autonomous Vehicles
Blockchain + AI for Healthcare
Blockchain + Augmented Reality Integration
Blockchain for IoT
Blockchain for Data Monetization
Blockchain + AI for Manufacturing
Information revolution is changing everything. Here is a snapshot of some critical technologies that are changing the world: IoT, Blockchain, Quantum Computing, AI, Cybersecurity, 5G,... resting on a foundation of Mobility, Cloud, and HPC.
This talk has evolved since 2011. Most recently, it was presented at the HPC-AI Advisory Council conference held at Stanford University in Feb-2018. A video of the talk is available on InsideHPC.com.
Contact OrionX.net if you'd like to request a speaker.
The conventional supply chain is plagued with various issues, most pressing among which is transparency or the lack of it thereof. Being a self-auditing distributed ledger that is accessible to all participants in the network and updated in real time, Blockchain brings in unprecedented levels of transparency to the supply chain. Moreover, its decentralized nature ensures that no single participant along the supply chain holds an unfair advantage or any influence on the data pertaining to the shipment.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
How Internet Of Things is changing Financial SectorSandeep Mishra
Internet of Things industry is developing rapidly and it provides people with a range of digital devices and sensors all around the world. As IoT is surrounding us in all fields of activity, banking area is also striving to make use of IoT and get some benefits.
FinTech is more important than ever when it comes to keeping up in the rapidly changing financial industry. Technologies such as cloud computing, data analytics, Artificial Intelligence (AI) and the Internet of Things (IoT) have the potential to cut costs, retain customers and protect against cyberthreats, as long as organizations are willing to invest in them.
See more: http://ms.spr.ly/6005pvK4x
AUSIS AI UNDERWRITING PLATFORM TRANSFORMING INSURANCEArtivatic.ai
Transforming Insurance with use of AI & ML. AUSIS Platform allows insurance to build risk assessment in real time for faster, customized and need based insurance issuance under 60 seconds. AUSIS is flagship product of Artivatic.
Convergence of IoT, AI and Blockchain
IoT, AI and Blockchain are Catalysts for Digital Transformation
A decentralized AI market is emerging from the combination of blockchain, on-device AI and Internet of Things (IoT).
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
The most relevant platforms overview for blockchain developers in 2020Blockchain Council
In addition to its versatile capabilities, blockchain technology still has the potential for growth. Blockchain platforms enable blockchain developers to develop apps to enhance and expand the uses and tools of the technology. Despite their cutting edge technology, blockchain platforms’ pros and cons still need to be considered when you intend to be involved in the blockchain industry.
SDChain - Blockchain 4.0: To create a blockchain ecosystem of trusted IoT dig...Liu Jen Hao
https://youtu.be/HjUV6nKITi8
In this SDChain Video, David Pan, CEO of SDChain, introduces the following:
I. SDChain Introduction,
II. SDChain Technology Architecture,
III. SDChain Industrial Applications, and
IV. Execution Plan.
The video covers IoT Six-Domain Model's
User Domain,
Application Service Domain,
Sensing & Actuating Domain,
Physical Entity Domain,
Resource Interchange Domain, and
Operation Management Domain.
A brief introduction of SDChain's SDFT Consensus Algorithm is also included.
4 Example SDChain Industrial Applications are introduced:
Agriculture,
Healthcare,
Manufacturing, and
Energy.
At the end,
the 5-year community development plan and the 2018 product development are briefly discussed, as well as SDChain's business model, utilizing SDA token for crediting IoT data transactions.
Blockchain is distributed ledger that record the transactions between two parties known as blocks and are connected to each other using cryptography. Once recorded on blockchain, these transactions can't be altered or tampered with.
Introduction Blockchain Technology Models To Work Within The EnterpriseBlockchain Council
. If you too are willing to make a career in this technology, then Blockchain Council is providing Online Blockchain certification programs in the same.
Blockchain is a growing technology, and with each passing day, the technology is improving and posting new modes of using the same. The best feature of Blockchain is that it is omnipresent. Irrespective of the type of industry, you can find its use in it. Decentralization, immutability and provenance are some of the features that make Blockchain a universal technology.
Impact of Blockchain on IT AuditBlockchain Techn.docxsheronlewthwaite
Impact of Blockchain on IT Audit
Blockchain Technology Overview
Three Levels of Blockchain, Tokens
Alliances and Industry Adoption
Smart Contracts
Identity Management
Criticism and Challenges
Impact on the IT Audit Function
Learning and Engagement
Agenda
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Blockchain technology is a digital innovation that is poised to significantly alter financial markets within the next few years, within a cryptographic ecosystem that has the potential to also significantly impact trusted computing activities and therefore cybersecurity concerns as a whole.
Blockchain Overview
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How many of you:
Have heard of bitcoins?
Own cryptocurrency?
Feel you understand the underlying blockchain technology?
Feel you can summarize for us the benefits of the “trust economy”?
Are involved in projects that involve blockchain technology implementation or related activities?
Student Exposure
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Where It All Started
Blockchain technology was first introduced in a whitepaper entitled: “Bitcoin: A Peer-to-Peer Electronic Cash System,” by Satoshi Nakamoto in 2008.
No reliance on trust
Digital signatures
Peer-to-peer network
Proof-of-work
Public history of transactions
Honest, independent nodes control majority of CPU computing power
Nodes vote with CPU computing power
Rules and incentives enforced through consensus mechanism
https://bitcoin.org/bitcoin.pdf
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Cryptocurrency Summarized
Bitcoin was the first digital, i.e., cryptocurrency
A maximum of 21 million Bitcoins can be generated
Just as with real world mining, energy must be invested to solve complex mathematical problems by which systems earn Bitcoins
https://www.cryptocoincharts.info/coins/info claims to be indexing 4,220 cryptocurrencies
Most circulated: Bitcoin, Ethereum, Litecoin
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The Technology Behind Bitcoin
Think of Bitcoin as an electronic asset (as well as a digital currency)
A network of computers keeps track of Bitcoin payments, and adds them to an ever-growing list of all the Bitcoin payments that have been made, called “The Bitcoin Blockchain”
The file that contains data about all the Bitcoin transactions is often called a “ledger”
Bitcoin value is created through transaction processing, referred to as “mining,” which is performed by distributed processors called “nodes” of the peer-to-peer network
A Gentle Introduction to Bitcoin by Antony Lewis, https://bravenewcoin.com/assets/Reference-Papers/A-Gentle-Introduction/A-Gentle-Introduction-To-Bitcoin-WEB.pdf
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Mining Evolution
Mining is the process whereby value is created through transaction processing that occurs on nodes of the network.
In 2009, one could mine 200 Bitcoins with a personal, home computer. In 2015, it would take about 98 years to mine just 1 Bitcoin.
Today there is almost no money to be made through traditional home mining.
ASIC (Application Specific Integrated Circuit) has been designed strictly for mining Bitcoins.
Groups of miners have formed mining pools, with each being paid their relati ...
By introducing relevant improvements in technology, blockchain networks have fully changed our way of life. Blockchain radically changes the way we live life for a good cause in many ways.
Top 25 Blockchain App Ideas For Businesses in 2023.pdfSoluLab1231
In 2008, a person or group of people called Satoshi Nakamoto came up with a whitepaper explaining Blockchain and Bitcoin. Blockchain is disrupting technology and has become a buzzword due to its continuous advancements. People have started using Blockchain technology with other technologies like IoT, AI, Extended reality, and game development for creating useful applications. Blockchain technology could be the next important technology after the Internet. You will be surprised to know that several businesses use different Blockchain applications to transform their traditional business models. This blog will help you get the best Blockchain app ideas to create new opportunities for growing your business.
According to recent research, the global Blockchain market would see a huge rise, and it would be worth around $20 billion industry by the year 2027. Blockchain technology has opened various doors for all of us by transforming how we operate businesses.
According to a survey conducted by McKinsey, people are spending a lot of money on Blockchain technology. Entrepreneurs worldwide are looking for great Blockchain app ideas in 2023 to enjoy the business benefits. For example 2018, people spent billions of dollars on Blockchain-based applications. Also, in 2019, the amount paid was around $2.9 billion, which Will turn to $12.4 billion by 2023. Companies like IBM have invested much money in Blockchain-based solutions in the IOT industry and have been enjoying the amazing benefits.
Also, various developing countries believe that Blockchain would give them a competitive advantage over others. Let’s look into a study done by Tata Communications. It has been shown that many developing countries would use the latest technologies like IoT, Blockchain, and AI for simplifying peer-to-peer and B2B transactions. Various business leaders in countries like India, Saudi Arabia, and the UAE are convinced by the idea of integrating Blockchain into their infrastructure.
Blockchain IoT Workshop for the Aviation Planning ConferenceJim Gitney
On August 19,2018, Jim Gitney, Group50's CEO, presented a Blockchain and IoT workshop to 60+ executives from the Aviation Industry and discussed current and future applications for that industry.
Self-learning machines can analyze big data from business & from digitized real world (IoT) rapidly and objectively in a trusted way using Blockchain than human beings (AI) to create additional value (Big Data).
How is blockchain technology making the supply chain smarter Blockchain Council
The research on improvising this technology is increasing, and so is the need for Blockchain expert who can bring this change. By enrolling for Blcockhain certification program, one can get a complete insight into this technology and understand its implementation.
When consumer products get switched on, brands will be able to deploy new IoT-based applications and services throughout the full product lifecycle. But what role will blockchains play in this, and is the hype about its potential justified?
This white paper will show you which use cases are best suited to blockchains and how to assess whether a blockchain-based solution is really needed.
How AI and blockchain can help you earn a passive income Blockchain Council
The past decade has been abuzz with speculation about both Artificial Intelligence and Blockchain Technology. Both hold enormous potential for human society as it stands and has both taken a long time to produce fruitful products. Highly developed AI modules are already entering the real world in products such as spam filtration, AI-based chess engines, and even self-driving cars. The true genius of such inventions is that they can produce code independently to solve problems in real time without any need for intervention from human beings. So let’s look at ways in which these strengths can be combined with blockchains to produce passive income investors.
This report is co-published by Opensurvey, a mobile research platform, and Startup Alliance, a startup supporting network.
The scope of work covered by this report is as follows.
✔️ Opensurvey : Project design, analysis and report drafting
✔️ Startup Alliance : Survey supervision, founder survey, final report review
스타트업얼라이언스와 오픈서베이가 2020년 11월에 발간한 2020년도 스타트업 트렌드 리포트입니다.
본 리포트는 모바일 리서치 플랫폼사인 오픈서베이와 민간 스타트업 지원 네트워크 스타트업얼라이언스에서 공동 발행합니다. 본 리포트 발간에서 담당한 업무 범위는 다음과 같습니다.
오픈서베이 : 프로젝트 설계 및 분석 및 보고서 작성
스타트업얼라이언스 : 설문 내용 감수 및 창업자 대상 설문조사, 최종 보고서 감수
This report is co-published by Opensurvey, a mobile research platform, and Startup Alliance, a startup supporting network.
The scope of work covered by this report is as follows.
Opensurvey : Project design, analysis and report drafting
Startup Alliance : Survey supervision, founder survey, final report review
스타트업 트렌드 리포트 2019
스타트업얼라이언스와 오픈서베이가 2019년 10월 발간한 2019년도 스타트업 트렌드 리포트입니다.
본 리포트는 모바일 리서치 플랫폼사인 오픈서베이와 민간 스타트업 지원 네트워크 스타트업얼라이언스에서 공동 발행합니다. 본 리포트 발간에서 담당한 업무 범위는 다음과 같습니다.
오픈서베이 : 프로젝트 설계 및 분석 및 보고서 작성
스타트업얼라이언스 : 설문 내용 감수 및 창업자 대상 설문조사, 최종 보고서 감수
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.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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
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.
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