Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination. With both these technologies able to effect and enact upon data in different ways, their coming together makes sense, and it can take the exploitation of data to new levels. At the same time, the integration of machine learning and AI into blockchain, and vice versa, can enhance blockchain’s underlying architecture and boost AI’s potential.
A simple interactive ppt on the basics of Blockchain.
What is Blockchain? Why we need it? How it works? Advantages & Disadvantages and many more topics like this.
A simple interactive ppt on the basics of Blockchain.
What is Blockchain? Why we need it? How it works? Advantages & Disadvantages and many more topics like this.
Stock Market Prediction using Machine LearningAravind Balaji
REPO : https://github.com/rvndbalaji/StockMarketPrediction
Stock Market Prediction using Machine
This is a presentation on Stock Market Prediction application built using R.
This is a part of final year engineering project
One of the most hyped IT buzzwords to have emerged in the last couple of years. Blockchain has found its way into major media headlines on a near-daily basis, but a year and a half ago, it was a word used by a relatively small number of people to describe the peer-to-peer distributed ledger technology.
Blockchain Overview, What is Blockchain, Why Blockchain, How Blockchain will change the world, concepts of Blockchain are explained like Consensus, Distributed Ledger, Blockchain use cases and more
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
***** Blockchain Training : https://www.edureka.co/blockchain-training *****
This Edureka video on "Blockchain Explained" is to guide you through the fundamentals of the new revolutionary technology called Blockchain and its defining concepts. Below are the topics covered in this tutorial:
1. History of blockchain
2. What is Blockchain
3. Traditional Transaction vs Blockchain
4. How Blockchain Works
5. Benefits of Blockchain
6. Blockchain Transaction Demo
Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR
You can also refer this playlist on Blockchain: https://goo.gl/V5iayd
The Blockchain Wave in 2019 and BeyondAhmed Banafa
We’re still in the early days of Blockchain as a technology, and so we’re yet to see the full impact that it will have on the world that we live in. Still, it’s already showing potential across a range of industries and started to enter the public consciousness, so the real question is what will happen when Blockchain technology starts to mature.
Blockchain Technology and Its Application in Artificial Intelligence and Mach...Dr. Kotrappa Sirbi
Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination .
Stock Market Prediction using Machine LearningAravind Balaji
REPO : https://github.com/rvndbalaji/StockMarketPrediction
Stock Market Prediction using Machine
This is a presentation on Stock Market Prediction application built using R.
This is a part of final year engineering project
One of the most hyped IT buzzwords to have emerged in the last couple of years. Blockchain has found its way into major media headlines on a near-daily basis, but a year and a half ago, it was a word used by a relatively small number of people to describe the peer-to-peer distributed ledger technology.
Blockchain Overview, What is Blockchain, Why Blockchain, How Blockchain will change the world, concepts of Blockchain are explained like Consensus, Distributed Ledger, Blockchain use cases and more
Artificial Intelligence Machine Learning Deep Learning Ppt Powerpoint Present...SlideTeam
Choose our Artificial Intelligence Machine Learning Deep Learning PPT PowerPoint Presentation Slide Templates to understand this popular branch of computer science. Acquaint your audience with the process of building smart, capable machines that can perform intelligent tasks with the help of this neural network PPT presentation. Exhibit the difference between AI, machine learning, and deep learning through this informative robotics PPT design. Elaborate on the wide range of areas that can benefit from artificial intelligence like supply chain, customer experience, human resources, fraud detection, research, and development by taking the aid of this computer science PPT slideshow. Highlight the booming rate of AI business and its future revenue forecast by downloading this thought-provoking and indulging information technology PowerPoint graphics. Save your time and efforts with these pre-ready and professionally crafted content-specific slides. It will educate your audience about this complex process in an easy yet efficient way. Download this AI functioning PowerPoint deck to create a roadmap for the growth and expansion of your business. https://bit.ly/3x135nD
***** Blockchain Training : https://www.edureka.co/blockchain-training *****
This Edureka video on "Blockchain Explained" is to guide you through the fundamentals of the new revolutionary technology called Blockchain and its defining concepts. Below are the topics covered in this tutorial:
1. History of blockchain
2. What is Blockchain
3. Traditional Transaction vs Blockchain
4. How Blockchain Works
5. Benefits of Blockchain
6. Blockchain Transaction Demo
Here is the link to the Blockchain blog series: https://goo.gl/DPoAHR
You can also refer this playlist on Blockchain: https://goo.gl/V5iayd
The Blockchain Wave in 2019 and BeyondAhmed Banafa
We’re still in the early days of Blockchain as a technology, and so we’re yet to see the full impact that it will have on the world that we live in. Still, it’s already showing potential across a range of industries and started to enter the public consciousness, so the real question is what will happen when Blockchain technology starts to mature.
Blockchain Technology and Its Application in Artificial Intelligence and Mach...Dr. Kotrappa Sirbi
Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination .
IoT and Blockchain Challenges and RisksAhmed Banafa
The biggest challenge facing IoT security is coming from the very architecture of the current IoT ecosystem; it’s all based on a centralized model known as the server/client model. All devices are identified, authenticated and connected through cloud servers that support huge processing and storage capacities. The connection between devices will have to go through the cloud, even if they happen to be a few feet apart. While this model has connected computing devices for decades and will continue to support today IoT networks, it will not be able to respond to the growing needs of the huge IoT ecosystems of tomorrow.
Blockchain and Data Science:Enabling Data Integrity for Predictions through ...SunilKrPandey1
Blockchain is slowly transforming the way organizations have been conducting the transactions. This has also penetrated and attracting other verticals including one of the most dominating profiles of the day, data Scientists, to explore the benefits of inclusion of Blockchain in it’s operations. It is expected that there is huge potential of amalgamation of these two important technologies coming together leading to quality predictions through Data Science while maintain high degree of Data Integrity through Blockchain technology. This has potential to revolutionize the finance sector, healthcare, retail, drug discovery etc.
The following five aspects will throw more light on the impeccable combination of these two innovative technologies:
1. Data Security – The ‘Decentralization’ of blockchain makes it difficult for hackers to attack sensitive information as it will require compromising all the nodes, which is virtually impossible. Further, blockchain automatically expels any node that behaves suspiciously, making the system secure.
2. Data Integrity – Blockchain ensures data integrity with its encryption and stringent verification process. Further, it provides much-needed transparency through transaction traceability.
3. Real-time Data Analysis – While blockchain offers real-time transactions, data science provides in-depth data analysis. These two technologies can be combined to deliver real-time data analysis that can revolutionize many industries and streamline business processes.
4. Prediction Making – Data science’s capability can be utilized to analyze blockchain data to derive valuable data insights and hidden trends.
5. Data Sharing – By using a blockchain network to store the data from data studies, project teams can prevent utilizing already used data or avoid repeating data analysis that’s already been conducted earlier. The technology can help send the information securely without the need to duplicate data cleansing.
Final Thoughts
It's true that blockchain data is verified and secured using cryptography. This restricts all unauthorized changes and hacks in the system. It removes the middlemen from the system so no one can make any unauthorized changes.
However, as Epiq Global points out, this doesn't mean blockchain is failproof. If enterprise businesses utilize permissionless platforms (as is the case with Bitcoin,) any endpoints that also have vulnerabilities have the potential to be targeted by malicious threat actors. This raises the question of whether data scientists using these types of public blockchain are able to guarantee confidentiality and if the integrity of any data being ingested can be trusted or not. Further, can the computed results be relied upon?
As with the GDPR & CCPA governance, risk and compliance is still a major hurdle and concern for business.
Blockchain may well be the panacea that Data Scientists have been waiting for – but only time will tell.
For the IoT industry to thrive, there are three categories of challenges to overcome: technology, business, and society. The upcoming webinar will shed some on what issues to expect soon.
Key challenges facing the future of IoTAhmed Banafa
The Internet of Things (#IoT) phenomenon—ubiquitous connected things providing key physical data and further processing of that data in the cloud to deliver business insights— presents a huge opportunity for many players in all businesses and industries. Many companies are organizing themselves to focus on IoT and the connectivity of their future products and services. For the IoT industry to thrive there are three categories of challenges to overcome and this is true for any new trend in technology not only IoT:
IoT Challenges
Technology
Business
Society
It’s clear that blockchain will revolutionize operations and processes in many industries and governments agencies if adopted, but its adoption requires time and efforts, in addition blockchain technology will stimulate people to acquire new skills, and traditional business will have to completely reconsider their processes to harvest the maximum benefits from using this promising technology. The following 10 trends will dominate blockchain technology in 2020:
Decentralised AI through Distributed Ledger Technologies Gokul Alex
My seminar lecture session on Decentralised AI through Distributed Ledger Technologies in the second National Seminar on Machine Intelligence organised by University of Kerala, Department of Computer Science on 24th January 2020. I have covered the foundations of distributed ledger technologies, decentralisation roadmap, decentralised AI and decentralised data exchanges in this session.
Businesses across the world are rapidly leveraging the Internet-of-Things (#IoT) to create new products and services that are opening up new business opportunities and creating new business models.
The resulting transformation is ushering in a new era of how companies run their operations and engage with customers. However, tapping into the IoT is only part of the story [6].
For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence (#AI) technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention [6].
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Watch this slides to understand how IoT and AI may work together.
Integrating AI into IoT networks is becoming a prerequisite for success in today’s data-driven digital ecosystems. The only way to keep up with IoT-generated data and gain the hidden insights it holds is using AI as the catalyst of IoT. Join this webinar to understand how IoT and AI may work together.
The year 2018 is the year of blockchain applications with several ongoing use-cases coming to realization and the vendor landscape also gained more depth and a better structure after years of press and vendor hype, fueled equally by commercial self-interest and a genuine desire for innovation.
In this seminar you will listen to in depth explanation of the hottest technologies in 2019 and beyond. Prof. Banafa will discuss each technology its applications and challenges with real life cases. The interaction among all the four technology will be explored with focus on future trends in each of technology. As all technologies can be summarized in one word IBAC (IoT, Blockchain, AI, Cybersecurity) they can be explained with the following words: IoT: senses, Blockchain: remembers, AI: thinks, and Cybersecurity: protects.
Blockchain applications demand standard testing such as functional performance, integration, and security testing. In addition, testing teams must have these specialized testing capabilities including Smart Contracts testing and Node Testing. know how differently each industry is influencing Blockchain Testing capabilities.
Organizations are looking for secure and robust platforms to transparently share the information and build absolute trust for the end user.
Blockchain can help organizations maintain transparency through Decentralization with added security.
Adopting Blockchain can have certain challenges such as high energy consumption, integration issues, privacy and security issues.To overcome these challenges blockchain testing is important to implement
Understanding the different building blocks of IoT, identifying the areas of vulnerability in each block and exploring technologies needed to counter each of the weaknesses are essential in dealing with the security issue of IoT.
The Internet of things (IoT) is growing rapidly and 2018 will be a fascinating year for the IoT industry. IoT technology continues to evolve at an incredibly rapid pace,
Consumers and businesses alike are anticipating the next big innovation. They are all set to embrace the ground-breaking impact of the Internet of Things on our lives like ATMs that report crimes around them, forks that tell you if you are eating fast, or IP address for each organ of your body for doctors to connect and check,.
In 2018, IoT will see tremendous growth in all directions; the following 8 trends are the main developments we predict for next year:
Can blockchain technology be the answer to IoT and AI security for Industry 4.0? Industrial Security Forum - The Secure Path of the Digital Future - Presentation at the Hannover Messe Industrie (HMI), Germany in April 2018
The Convergence of 5G and Internet of Things (IoT) is the next natural move for two advance technologies built to make users lives convenient, easier and more productive. But before talking about how they will unite we need to understand each of the two technologies.
Simply defined; 5G is the next-generation cellular network compared to 4G, the current standard, which offers speeds ranging from 7 Mbps to 17 Mbps for upload and 12 Mbps to 36 Mbps for download, 5G transmission speeds may be as high as 20 Gbps. Latency will also be close to 10% of 4G transmission, and the number of devices that can be connected scales up significantly which warranted the convergence with IoT.
Quantum computers are designed to perform tasks much more accurately and efficiently than conventional computers, providing developers with a new tool for specific applications.
It is clear in the short-term that quantum computers will not replace their traditional counterparts; instead, they will require classical computers to support their specialized abilities, such as systems optimization.
The convergence of IoT and Quantum ComputingAhmed Banafa
One of the top candidates to help in securing IoT is Quantum Computing, while the idea of convergence of IoT and Quantum Computing is not a new topic, it was discussed in many works of literature and covered by various researchers, but nothing is close to practical applications so far.
Quantum Computing is not ready yet, it is years away from deployment on a commercial scale.
Building a quantum internet is a key ambition for many countries around the world, such a breakthrough will give them competitive advantage in a promising disruptive technology, and opens a new world of innovations and unlimited possibilities.
COVID-19 has impacted countries, communities, and individuals in countless ways, from business and school closures to job losses not to undermined loss of lives.
Quantum teleportation is a technique for transferring quantum information from a sender at one location to a receiver some distance away.
While teleportation is portrayed in science fiction as a means to transfer physical objects from one location to the next, quantum teleportation only transfers quantum information.
The Zero Trust Model of information #security simplifies how #information security is conceptualized by assuming there are no longer “trusted” interfaces, applications, traffic, networks, or users. It takes the old model— “trust but verify”—and inverts it, because recent breaches have proven that when an organization trusts, it doesn’t verify
How blockchain is revolutionizing crowdfundingAhmed Banafa
According to experts, there are five key benefits of crowdfunding platforms: efficiency, reach, easier presentation, built-in PR and marketing, and near-immediate validation of concept, which explains why crowdfunding has become an extremely useful alternative to venture capital (VC), and has also allowed non-traditional projects, such as those started by in-need families or hopeful creatives, a new audience to pitch their cause.
Blockchain technology and supply chain managementAhmed Banafa
Managing today’s supply chains is extremely complex. For many products, the supply chain can span over hundreds of stages, multiple geographical (international) locations, a multitude of invoices and payments, have several individuals and entities involved, and extend over months of time.
8 key tech trends in a post covid-19 world editedAhmed Banafa
COVID-19 has demonstrated the importance of digital readiness, which allows business and people’s life to continue as usual during pandemics.
Building the necessary infrastructure to support a digitized world and stay current in the latest technology will be essential for any business or countryto remain competitive in a post-COVID-19 world.
The COVID-19 coronavirus has impacted countries, communities and individuals in countless ways, from school closures to health-care insurance issues not to undermined loss of lives.
As governments scramble to address these problems, different solutions based on blockchain technologies have sprung up to help deal with the worldwide health crisis. Blockchain will surely not prevent the emergence of new viruses itself, but what it can do is create the first line of rapid protection through a network of connected devices whose primary goal is to remain alert about disease outbreaks.
Therefore, the use of blockchain-enabled platforms can help prevent these pandemics by enabling early detection of epidemics, fast-tracking drug trials, and impact management of outbreaks and treatment.
Quantum Computing and Blockchain: Facts and Myths Ahmed Banafa
The biggest danger to Blockchain networks from quantum computing is its ability to break traditional encryption . Google sent shock waves around the internet when it was claimed, had built a quantum computer able to solve formerly impossible mathematical calculations–with some fearing crypto industry could be at risk . Google states that its experiment is the first experimental challenge against the extended Church-Turing thesis — also known as computability thesis — which claims that traditional computers can effectively carry out any “reasonable” model of computation
In this webinar Prof. Banafa will discuss in details the use of Blockchain in the following businesses: Insurance; Payments; Internet-of-Things (IoT); Supply Chain; Healthcare; Government; Identity; Advertising; Marketing; Banking.
The following list of predictions (Figure 1) explores the state of IoT in 2019 and covering IoT impact on many aspects business and technology including Digital Transformation, Blockchain, AI, and 5G.
Secure and Smart IoT using Blockchain and AIAhmed Banafa
The first 29 pages of my book "Secure and Smart IoT Using Blockchain and AI " Including Forward, Preface, Table of Contents , list of Figures, and Chapter 1. https://www.amazon.com/Secure-Smart-Internet-Things-IoT/dp/8770220301/
New trends of IoT in 2018 and beyond (SJSU Conference ) Ahmed Banafa
The Internet of things (IoT) is growing rapidly and 2018 will be a fascinating year for the IoT industry. IoT technology continues to evolve at an incredibly rapid pace. Consumers and businesses alike are anticipating the next big innovation. They are all set to embrace the ground-breaking impact of the Internet of Things on our lives like ATMs that report crimes around them, forks that tell you if you are eating fast, or IP address for each organ of your body for doctors to connect and check
Second line of defense for cybersecurity : BlockchainAhmed Banafa
With the fact that cybercrime and cyber security attacks hardly seem to be out of the news these days and the threat is growing globally.
Nobody would appear immune to malicious and offensive acts targeting computer networks, infrastructures and personal computer devices.
Firms clearly must invest to stay resilient.
Gauging the exact size of cybercrime and putting a precise US dollar value on it is nonetheless tricky.
First line of defense for cybersecurity : AIAhmed Banafa
The year 2017 wasn't a great year for cyber-security; we saw a large number of high-profile cyber attacks; including Uber, Deloitte, Equifax and the now infamous WannaCry ransomware attack, and 2018 started with a bang too with the hacking of Winter Olympics.
The frightening truth about increasingly cyber-attacks is that most businesses and the cybersecurity industry itself are not prepared. Despite the constant flow of security updates and patches, the number of attacks continues to rise.
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.
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.
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.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
1. Blockchain and AI: A Perfect
Match?
Prof. Ahmed Banafa
IoT-Blockchain-AI Expert | Faculty | Author | Keynote
Speaker
Continuing Education @ Stanford University
College of Engineering @ San Jose State University,
CA, USA
2. Prof. Ahmed Banafa has extensive research work with
focus on IoT, Blockchain, cybersecurity and AI. He
He served as a faculty at well-known universities and
and colleges.
He is the recipient of several awards, including
Distinguished Tenured Staff Award, Instructor of the
the year and Certificate of Honor from the City and
and County of San Francisco.
He was named as No.1 tech voice to follow by
LinkedIn, featured in Forbes, IEEE-IoT and MIT
Technology Review, with frequent appearances on
ABC, CBS, NBC , BBC, and Fox TV and Radio stations.
stations.
He studied Electrical Engineering at Lehigh
University, Cybersecurity at Harvard University, and
and Digital Transformation at MIT .
Author of “Secure & Smart IoT using Blockchain & AI”
Prof. Ahmed Banafa
3. • Blockchain and Artificial Intelligence are two
of the hottest technology trends right now.
Even though the two technologies have highly
different developing parties and applications,
researchers have been discussing and
exploring their combination [6].
4. • PwC predicts that by 2030 AI will add up to
$15.7 trillion to the world economy, and as a
result, global GDP will rise by 14%. According
to Gartner’s prediction, business value added
by blockchain technology will increase to $3.1
trillion by the same year.
5. • By definition, a blockchain is a distributed,
decentralized, immutable ledger used to store
encrypted data. On the other hand, AI is the
engine or the “brain” that will enable analytics
and decision making from the data collected.
[1]
6. • It goes without saying that each technology
has its own individual degree of complexity,
but both AI and blockchain are in situations
where they can benefit from each other, and
help one another.[3]
7. • With both these technologies able to effect
and enact upon data in different ways, their
coming together makes sense, and it can take
the exploitation of data to new levels.
8. • At the same time, the integration of machine
learning and AI into blockchain, and vice
versa, can enhance blockchain’s underlying
architecture and boost AI’s potential.
9. • Additionally, blockchain can also make AI
more coherent and understandable, and we
can trace and determine why decisions are
made in machine learning.
10. • Blockchain and its ledger can record all data
and variables that go through a decision made
under machine learning.
11. • Moreover, AI can boost blockchain efficiency
far better than humans, or even standard
computing can.
12. • A look at the way in which blockchains are
currently run on standard computers proves
this with a lot of processing power needed to
perform even basic tasks.[3]
13.
14. Applications of AI and Blockchain
Smart Computing Power
• If you were to operate a blockchain, with all its
encrypted data, on a computer you’d need
large amounts of processing power.
15. • The hashing algorithms used to mine Bitcoin
blocks, for example, take a “brute force”
approach – which consists in systematically
enumerating all possible candidates for the
solution and checking whether each candidate
satisfies the problem’s statement before
verifying a transaction.[3]
16. • AI affords us the opportunity to move away
from this and tackle tasks in a more intelligent
and efficient way.
17. • Imagine a machine learning-based algorithm,
which could practically polish its skills in ‘real-
time’ if it were fed the appropriate training
data.[3]
18. Creating Diverse Data Sets
• Unlike artificial intelligence based-projects,
blockchain technology creates decentralized,
transparent networks that can be accessed by
anyone, around the world in public blockchain
networks situation.
19. • While blockchain technology is the ledger that
powers cryptocurrencies, blockchain networks
are now being applied to a number of
industries to create decentralization.
20. • For example, SinguarlityNET is specifically
focused on using blockchain technology to
encourage a broader distribution of data and
algorithms, helping ensure the future
development of artificial intelligence and the
creation of “decentralized A.I.” [4]
21. • SingularityNET combines blockchain and A.I.
to create smarter, decentralized A.I.
Blockchain networks that can host diverse
data sets.
• By creating an API of API’s on the blockchain,
it would allow for the intercommunication of
A.I. agents. As a result, diverse algorithms can
be built on diverse data sets. [4]
22. Data Protection
• The progress of AI is completely dependent on
the input of data — our data. Through data, AI
receives information about the world and
things happening on it.
• Basically, data feeds AI, and through it, AI will
be able to continuously improve itself.
23. • On the other side, blockchain is essentially a
technology that allows for the encrypted
storage of data on a distributed ledger.
24. • It allows for the creation of fully secured
databases which can be looked into by parties
who have been approved to do so. When
combining blockchains with AI, we have a
backup system for the sensitive and highly
valuable personal data of individuals.
25. • Medical or financial data are too sensitive to
hand over to a single company and its
algorithms.
26. • Storing this data on a blockchain, which can
be accessed by an AI, but only with permission
and once it has gone through the proper
procedures, could give us the enormous
advantages of personalized recommendations
while safely storing our sensitive data.[4]
27. Data Monetization
• Another disruptive innovation that could be
possible by combining the two technologies is
the monetization of data. Monetizing
collected data is a huge revenue source for
large companies, such as Facebook and
Google.[4]
28. • Having others decide how data is being sold in
order to create profits for businesses
demonstrates that data is being weaponized
against us. Blockchain allows us to
cryptographically protect our data and have it
used in the ways we see fit.
29. • This also lets us monetize data personally if
we choose to, without having our personal
information compromised. This is important
to understand in order to combat biased
algorithms and create diverse data sets in the
future.[4]
30. • The same goes for AI programs that need our
data. In order for AI algorithms to learn and
develop, AI networks will be required to buy
data directly from its creators, through data
marketplaces.
31. • This will make the entire process a far more
fair process than it currently is, without tech
giants exploiting its users.[4]
32. • Such a data marketplace will also open up AI
for smaller companies. Developing and
feeding AI is incredibly costly for companies
that do not generate their own data.
• Through decentralized data marketplaces,
they will be able to access otherwise too
expensive and privately kept data.
33. Trusting AI Decision Making
• As AI algorithms become smarter through
learning, it will become increasingly difficult
for data scientists to understand how these
programs came to specific conclusions and
decisions.
34. • This is because AI algorithms will be able to
process incredibly large amounts of data and
variables. However, we must continue to audit
conclusions made by AI because we want to
make sure they’re still reflecting reality.
35. • Through the use of blockchain technology,
there are immutable records of all the data,
variables, and processes used by AIs for their
decision-making processes. This makes it far
easier to audit the entire process.
36. • With the appropriate blockchain
programming, all steps from data entry to
conclusions can be observed, and the
observing party will be sure that this data has
not been tampered with. It creates trust in the
conclusions drawn by AI programs.
37. • This is a necessary step, as individuals and
companies will not start using AI applications
if they don’t understand how they function,
and on what information they base their
decisions.
38. Conclusion
• The combination of blockchain technology
and Artificial Intelligence is still a largely
undiscovered area.
• Even though the convergence of the two
technologies has received its fair share of
scholarly attention, projects devoted to this
groundbreaking combination are still scarce.
39. • Putting the two technologies together has the
potential to use data in ways never before
thought possible.
40. • Data is the key ingredient for the development
and enhancement of AI algorithms, and
blockchain secures this data, allows us to audit
all intermediary steps AI takes to draw
conclusions from the data and allows
individuals to monetize their produced data.
41. • AI can be incredibly revolutionary, but it must
be designed with utmost precautions —
blockchain can greatly assist in this. How the
interplay between the two technologies will
progress is anyone’s guess.
42. • However, its potential for true disruption is
clearly there and rapidly developing [6].