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
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/
The global IoT in healthcare market is expected to grow at a CAGR of 19.1% during the forecast period and reach USD 230.53 billion by 2026.
https://straitsresearch.com/report/iot-healthcare-market/request-sample
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.
State of the internet of things (IoT) market 2016 editionPrayukth K V
2015 was the year IoT gained legitimacy.
Businesses budged off a “start small think big” mindset.
In 2016, they’re building IoT into future strategies and
business models. Companies across all industries now
have IoT squarely on their radar. The worldwide Internet
of Things market spend will grow from $591.7 billion
in 2014 to $1.3 trillion in 2019 with a compound annual
growth rate of 17%. The installed base of IoT endpoints
will grow from 9.7 billion in 2014 to more than 25.6 billion
in 2019, hitting 30 billion in 20201.
How Businesses & Governments Can Prosper with Blockchain AI Tech by Dinis GuardaDinis Guarda
How Business Governments Can Prosper Blockchain AI Tech
In our new digital data driven world
Blockchain + AI
are the new fire and electricity
why business and governments have to use it?
Digital transformation gave us blockchain and AI but the global economy is not digitalized.
There is a lot of possibilities as the economy gets digitised - blockchain and AI are the next stage
Blockchain and AI technology potential to benefit ordinary citizens
Contextualise blockchain, AI - Businesses and Governments
Smart Contract technology with machine learning will become the default setting for data, finance, payments, procurements, id and supply chain;
Businesses + Governments will need to adapt and evolve fast;
Advanced economies & Emergent markets and blockchain and AI;
How Governments Can Prosper with Blockchain and AI Tech;
Risks and warranties;
What to do now? Conclusions
Presentation and research by Dinis Guarda
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.
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
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/
The global IoT in healthcare market is expected to grow at a CAGR of 19.1% during the forecast period and reach USD 230.53 billion by 2026.
https://straitsresearch.com/report/iot-healthcare-market/request-sample
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.
State of the internet of things (IoT) market 2016 editionPrayukth K V
2015 was the year IoT gained legitimacy.
Businesses budged off a “start small think big” mindset.
In 2016, they’re building IoT into future strategies and
business models. Companies across all industries now
have IoT squarely on their radar. The worldwide Internet
of Things market spend will grow from $591.7 billion
in 2014 to $1.3 trillion in 2019 with a compound annual
growth rate of 17%. The installed base of IoT endpoints
will grow from 9.7 billion in 2014 to more than 25.6 billion
in 2019, hitting 30 billion in 20201.
How Businesses & Governments Can Prosper with Blockchain AI Tech by Dinis GuardaDinis Guarda
How Business Governments Can Prosper Blockchain AI Tech
In our new digital data driven world
Blockchain + AI
are the new fire and electricity
why business and governments have to use it?
Digital transformation gave us blockchain and AI but the global economy is not digitalized.
There is a lot of possibilities as the economy gets digitised - blockchain and AI are the next stage
Blockchain and AI technology potential to benefit ordinary citizens
Contextualise blockchain, AI - Businesses and Governments
Smart Contract technology with machine learning will become the default setting for data, finance, payments, procurements, id and supply chain;
Businesses + Governments will need to adapt and evolve fast;
Advanced economies & Emergent markets and blockchain and AI;
How Governments Can Prosper with Blockchain and AI Tech;
Risks and warranties;
What to do now? Conclusions
Presentation and research by Dinis Guarda
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.
The Present and Future of Blockchain and AI by Dinis GuardaDinis Guarda
The Present and Future of Blockchain and AI
How Public and Private Sectors can holistically benefit from embracing blockchain AI tech.
DNA OF OUR TIME = TECH - DATA + BLOCKCHAIN + AI
by Dinis Guarda
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.
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
This talk explores the efficiencies that organizations achieve when they deploy IoT. It draws upon a series of case studies across different industries including autos, aircraft, farm equipment and farming, logistics, aircraft engines, and healthcare.
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
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 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.
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
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
The Present and Future of Blockchain and AI by Dinis GuardaDinis Guarda
The Present and Future of Blockchain and AI
How Public and Private Sectors can holistically benefit from embracing blockchain AI tech.
DNA OF OUR TIME = TECH - DATA + BLOCKCHAIN + AI
by Dinis Guarda
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.
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
This talk explores the efficiencies that organizations achieve when they deploy IoT. It draws upon a series of case studies across different industries including autos, aircraft, farm equipment and farming, logistics, aircraft engines, and healthcare.
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
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 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.
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
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
From artificial intelligence and augmented reality to multi-connected businesses and new mobility, the focus is on a wide variety of technology – but which trends have a lasting influence on digital transformation, in a post-COVID world? A Social Friendly Report.
Rapidly evolving technology is creating many opportunities for strategic technologies to rise in the market. As the demand for specific skills increases, let's look at the current trends for an IT professional to follow.
Presentation on iot market report, internet industry report, growth, overview, size, share, opportunities, company profiling, trends & forecast 2015-2021
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
Top 4 Digital Transformation Trends In 2018DivyaConsagous
Digital transformations leverage the power of developing technologies to boost the customer or user experience and meet the operational goals. Here is the scoop of top 4 digital transformation trends in 2018 that are radars right now.
Top 6 New Technology Trends For 2022.docxSameerShaik43
Gone are the days, when electronic devices used to be simple. Things have changed and technology has been evolving at a fast pace. In today’s information age, it has become important for every individual and organization alike to be with the changing trend.
https://www.tycoonstory.com/technology/top-6-new-technology-trends-for-2022/
5 Infrastructure Trends That Will Reshape IT By 2023.docxjustspamxox
Healthcare is a fundamental aspect of any society, reflecting the overall well-being and prosperity of its citizens. It encompasses a vast array of services, from preventive care to acute treatments, aiming to ensure that individuals can lead healthy and fulfilling lives. In recent years, the healthcare sector has undergone significant transformations, driven by technological advancements, demographic shifts, and evolving public expectations. This article delves into the multifaceted world of healthcare, exploring both its challenges and the promising opportunities that lie ahead.
Challenges in Healthcare:
Access Disparities:
Access to quality healthcare remains a global challenge. Disparities in healthcare access are influenced by factors such as socioeconomic status, geographical location, and cultural barriers. Bridging these gaps requires a concerted effort from governments, healthcare providers, and communities to ensure that everyone has equal access to essential healthcare services.
Rising Costs:
The escalating costs of healthcare services pose a significant challenge, particularly in countries with complex healthcare systems. The burden of high medical expenses can lead to financial strain on individuals and families. Governments and healthcare organizations are continuously exploring ways to enhance efficiency and reduce costs without compromising the quality of care.
Technological Integration:
While technological advancements have the potential to revolutionize healthcare, integrating new technologies into existing systems poses challenges. Issues such as data security, interoperability, and the digital divide must be addressed to fully harness the benefits of innovations like telemedicine, artificial intelligence, and electronic health records.
Public Health Emergencies:
The world has witnessed the impact of global health crises, such as the COVID-19 pandemic. Such events highlight the need for robust public health infrastructure, effective crisis management, and international collaboration to respond swiftly and effectively to emerging threats.
Opportunities in Healthcare:
Preventive Healthcare:
Shifting the focus from treatment to prevention presents a significant opportunity for healthcare improvement. By promoting healthy lifestyles, early detection, and proactive interventions, healthcare systems can reduce the burden of chronic diseases and improve overall population health.
Telehealth and Remote Monitoring:
The expansion of telehealth services and remote patient monitoring has the potential to enhance accessibility and convenience for patients. This technology-driven approach allows healthcare providers to reach individuals in remote areas and monitor chronic conditions more effectively.
Personalized Medicine:
Advances in genomics and data analytics have paved the way for personalized medicine, tailoring treatments to an individual's genetic makeup and lifestyle. This approach holds promise for more effective and target
The top technology trends in year 2020. in a fast moving world driven by both data and intelligence, understanding the future and direction of technology is important than ever.
Thriving in an Age of Tech Disruption.pdfMindfire LLC
Since the past decade, the pace of tech disruption has significantly grown with the increasing applications of technologies like AI, ML, and IoT. The global pandemic has only accelerated the wave of tech disruption by creating the demand for innovative and dynamic solutions.
Companies are constantly experiencing the need to innovate faster while keeping up with customer expectations so as to stay competitive. According to McKinsey, businesses adopted digital solutions 25 times faster than their own estimates during the pandemic.
Data science provides businesses with advanced tools and technologies that allow them to automate complicated business processes linked with extracting, analyzing, and presenting raw data.
With so much happening in the technical field, and the data being generated at a rapid speed, it is crucial to know about the latest as well as the upcoming trends in data science.
The Internet Of Things will have an increasing impact to all industries and health and fitness are no exception. This definitive guide provides a blue print for the things we all need to keep in mind as we adopt the IOT revolution.
After reading the Top 14 IoT Trends to Emerge in 2023 article, you will learn about what the 14 IoT Trends will be happening.
What is IoT?
The Internet of Things (IoT) is a system of connected devices, digital machines, and users with unique identifiers and network transportability that eliminates the need for human-to-human or human-to-machine interaction.
IoT is an important part of the new generation of information technology. Unlike the Internet, the main application objects of IoT are some physical devices, such as vehicles, home appliances, buildings, etc.
By embedding electronic software, sensors and some network connection devices in these physical devices, the exchange of data between devices can be realized, thus establishing a set of interconnected networks.
According to statistics, more than 43 billion devices are currently expected to be connected to the IoT worldwide, which will generate, share, collect and help people use data in a variety of ways.
The 14 most important IoT trends
Here are the 14 most important IoT trends that will change the world in 2023.
A presentation of COVID-19. This presentation covers the following contents-
1) Symptoms
2) Flowchart
3) Deaths
4) Ratio of effect, Recovered & Death
5) Prevention
6) Vaccines and medicines
7) Treatment
Data Analysis in Research: Descriptive Statistics & NormalityIkbal Ahmed
A Presentation on Data Analysis using descriptive statistics & normality. From this presentation you can know-
1) What is Data
2) Types of Data
3) What is Data analysis
4) Descriptive Statistics
5) Tools for assessing normality
Theoretical and Conceptual framework in ResearchIkbal Ahmed
A presentation on Theoretical framework and conceptual framework of a research.From this presentation you can know -
1) About theory and 4 types of theory
2) How to choose a suitable theoretical framework for your research
3) How to make a good conceptual framework for your research
4) Find out Independent variable and dependent variable of your problem statement
5) Relation between TF & CF relative to Quantitative and Qualitative methodology
A presentation on validity and reliability of questionnaire. In this presentation, you can learn-
1) Classification of validity
2) Validity which is good
2) Classification of Reliability
3) Reliability which is good
4) Difference between validity and reliability
5) How to calculate validity and reliability using SPSS and STATA
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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
-------------------------------------------
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
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
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This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
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State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Latest Technology News 2020
1. L ATEST
TECHNOLOGY
NEWS IN 2020
P R E S E N T E D B Y : N A Z M U L H O S S A I N
2 N D Y E A R , 2 N D S E M E S T E R
D E P T. O F C S E
C C N U N I V E R S I T Y O F
S C I E N C E &
T E C H N O L O G Y
P R E S E N T E D TO : I K B A L A H M E D
L E C T U R E R
D E P T. O F C S E
C C N U N I V E R S I T Y O F
S C I E N C E &
T E C H N O L O G Y
2. Contents of Presentation
Blockchain
5G Network
Autonomous Driving
Human Augmentation
Distributed Cloud
DARQ Age
Personal Profiling
AI Products
Data Policing
Momentary Markets
Automation
Reskilling Human Workforce
Medical Upgrade
4. BLOCKCHAIN
In 2020, major institutions will introduce
blockchain to prevent large-scale
information leakage and Internet fraud.
IBM set up an accelerator program
specializing in blockchain. China approved
the introduction of blockchain in services
such as ICBC (China Industrial and
Commercial Bank), Alibaba Group, China
Southern Airlines, etc. In 2020, blockchain
will be put to practical use.
5. 5G NETWORK
“5G wireless networks will support 1,000-fold gains
in capacity, connections for at least 100 billion
devices and a 10 Gb/s individual user experience
of extremely low latency and response times, as
stated by Huawei. “Deployment of these networks
will emerge between 2020 and 2030.”
However, to take this speed to everyday mobile
users, mobile network carriers will need to increase
bandwidth and reduce network costs. Moreover,
LTE adoption isn’t waning and is estimated to
reach $672 billion by the end of 2020.
6. AUTONOMOUS DRIVING
We all have heard about companies like Tesla, Alphabet, and
Waymo, and the one thing that is common among them is their
aim, which is to craft impeccable autonomous vehicles. The idea
of a driverless car in itself generates a considerable amount of
excitement.
Tesla chief Elon Musk already has the future design of
autonomous vehicles and aims to go big in this industry.
There is still time for the modulation of the laws for autonomous
driving by legislators, regulators, and authorities. Over that,
signicant tweaks will be required in the existing infrastructure,
laws and social attitudes before we can embrace autonomous
vehicles in the current technology trends. But all these
determinants can’t rule out the possibility of autonomous
vehicles in 2020.
7. Human Augmentation
Human augmentation can be defined as a
process by which a person’s physical and
cognitive ability is strengthened. Once implanted
in a human being, it will enable the person to
execute tasks that were earlier impossible for
him.
For instance, we have miners who use wearables
to enhance their safety. Then the cases of human
augmentation in soldiers are a highly anticipated
topic and are in pursuit behind the curtains by
the armed forces of many countries, as per
reports.
8. DISTRIBUTED CLOUD
The trends of cloud storage and cloud computing
are already embraced by the industries across the
globe and the next big thing that is going to hit the
tech ecosystem is the distributed cloud system.
Distributed Cloud helps in connecting the public
cloud distributed operation of cloud services to
specific locations.
It’s expected that by 2020, 75% of the enterprise-
generated data will be processed regardless of the
centralized data center. This new upcoming
technology of 2020 will be a significant
breakthrough in the cloud infrastructure.
10. PERSONAL PROFILING
Digital integration into people’s lives has become so
deep that data analytics has more information than
they could ever analyze with current technology.
The trick here for businesses is to integrate and adapt
to an individual’s preference for the latest
technology. Gillette is one such example that has
partnered with 3D printing startup Formulable to
offer customized razor designs.
Despite having a promising future, a top technology
trend like this raises one glaring question – where is
consumer consent in this personal profiling and
where do we draw the socially acceptable line and
how will this line differ from consumer to consumer?
Well, for that, we have to wait and watch the manner
in which personal profiling is deployed by the
businesses in 2020.
11. AI PRODUCTS
Artificial technology or AI is not a new term in
the IT sphere, but now there are further
verticals of AI that are shaping the industries
globally.
AI technology trends, including products like
AlterEgo, a mind-reading wearable, and citizen
robots like Sophia, are only a promo to how big
AI technology will get in 2020. Companies like
Dominos and Doordash are already
experimenting with drones and robot delivery.
12. DATA POLICING
Ever since the European Union’s General Data
Protection Regulation (GDPR) tightened the bolts
on privacy and data protection laws, businesses
and consumers alike have become more aware of
their vulnerability to data breach and cyber-
attacks.
According to Gartner, by 2020, nearly 70% of
organizations will be exposed to personal data
archiving.That’s a 60% growth since 2018 when
the number was at 10%.
14. AUTOMATION
Automation is aimed to augment people and propel
business operations. It combines packaged software,
machine learning, and automation tools to deliver the
results. In the next couple of years, automation of data
science will empower scientists to churn out advanced
analysis.
For example, businesses in retail will need such
sophisticated automation to compete with cashier-less
AMAZON GO stores. Automation has already had us
welcome cashier-less AMAZON Go stores across the US,
but according to CNBC, the number will be 3,000 of its
cashier-less AMAZON GO stores by 2021.
16. MEDICAL UPGRADE
A much-anticipated tech trend in 2020 will be
sophistication of technology upgrades in the
medical field. 3D printing will open a new
business of advanced prosthetics as many
universities are expanding their research in 3D
printing of bionic body parts.
Scientists at Princeton University, Princeton, NJ,
for instance, have 3D printed a "bionic ear" that
can "hear" radio frequencies far beyond the
range of normal human capability.
Similarly, telemedicine and virtual diagnosis
powered by AI and AR will need businesses to
rework their business model in medicine.
18. KEY TAKEAWAYS OF 2020 TECH TRENDS
• Businesses will need to adapt to a transition from social, mobile, analytics and cloud (SMAC) to Distributed
ledger technology (such as blockchain), Artificial intelligence (AI), Extended reality (including virtual and
augmented reality), and Quantum computing (DARQ)
• Personal profiling of consumers by analyzing their social proles, where they check-in and what products do
they tag among other parameters will change marketing for businesses.
• Businesses will require the reskilling of the Next-gen workforce to be trained in 2020 tech trends such as
Augmented Reality, Virtual Reality, Internet Of Things, Blockchain, Artificial Intelligence.
• Ever since the European Union’s General Data Protection Regulation (GDPR) laid the foundation for data
privacy regulations, businesses will need to adapt their analytics to similar guidelines in 2020 to protect user
information.
• Real-time opportunity to capture "momentary markets" will require businesses to update customer analytics
and advertising.
19. KEY TAKEAWAYS OF 2020 TECH TRENDS
• AI products like AlterEgo, Sophia (robot) and driverless vehicles from companies like Tesla, Uber, and Volvo
will get more sophisticated in 2020.
• 3D printing will open doors to bionic body parts processing, while telemedicine combined with AR diagnosis
will upgrade businesses in medicine.
• Automation in businesses will ride in three waves: Algorithmic, Augmentation, and Autonomy implying that
automated stores like cashier-less AMAZON GO stores will surface, increase and lose all human workforce in
stages across 2020.
• Traditional banking will get a little weaker with Facebook’s cryptocurrency project Libra and the growth of
digital payment systems like Amazon pay.
• 5G will support 1,000-fold gains in capacity, connections for at least 100 billion devices and a 10 Gb/s. While
this means faster browsing for businesses, the unimpeded growth of LTE still questions 5G.
20. WHAT’S NEXT IN TECHNOLOGY
CONSUMER DATA BREACH. ACCORDING TO THE PWC REPORT, AI PRODUCTS BY 2030 WILL
CONTRIBUTE OVER $15.7 TRILLION TO THE GLOBAL ECONOMY.
ANALYTICS WILL SEE DRAMATIC CHANGES FOR BUSINESSES IN TERMS OF PRODUCT MODIFICATION.
A MACHINE LEARNING APP DEVELOPED BY SAM’S CLUB IS ALREADY USING MACHINE LEARNING TO
ANALYZE CUSTOMERS’ PAST PURCHASES AND AUTO-FILL THEIR SHOPPING LISTS. IT ALSO PLANS TO
ADD A NAVIGATION FEATURE, WHICH WILL SHOW OPTIMIZED ROUTES THROUGH THE STORE TO
EACH ITEM ON THAT LIST.
WHILE THIS SUGGESTS MORE SOPHISTICATED CONSUMER SATISFACTION AND BETTER BUSINESS, IT
ALSO BEGS THE QUESTION OF WHAT IS THE REAL COST OF CONSUMER ANALYTICS IN 2020
COLLECTED FOR THESE SERVICES.
IN 2020, BUSINESS NOT ONLY NEEDS TO COME TOGETHER TO FORM A CYBER-SECURE ECOSYSTEM
BUT ALSO REVIEW THEIR TAKE ON DATA ANALYTICS. FOR THAT TO HAPPEN, THE PRESENT STAFF
NEEDS TO BE WELL TRAINED FOR THE LATEST TRENDS IN TECHNOLOGY AND THE PROCESS SHOULD
BE FOLLOWED ACCORDINGLY. WE EXPECT TO CATCH SIGHT OF A TECHNOLOGICAL ADVANCED
WORLD WITH CONCLUSIVE USE CASES OF ALL THE ABOVE MENTIONED TECHNOLOGIES.