This document provides an overview of testing artificial intelligence applications. It begins with introductions to Kari Kakkonen and Mark Sevalnev, who will be presenting. The agenda then outlines that the presentation will discuss how AI differs from normal software, areas of AI learning to test, and techniques for testing AI. The document provides background on drivers of the AI revolution and examples of AI applications. It explores how AI is different from traditional software development and when AI approaches are superior. It also addresses challenges in AI like biases in data and fragility. The presentation will cover AI-related terms and concepts. It suggests AI testing life cycles and issues like complexity, bias, and lack of transparency. Example techniques discussed are adversarial attacks and
To produce better results, AI testing uses automated software tools that use artificial intelligence (AI), typically machine learning. These apparatuses can defeat many of the normal obstacles of computerized programming testing.
To learn more about AI Testing, Visit: https://www.kiwiqa.com/ai-testing-services.html
Agenda:
What is Artificial Intelligence ?
What is Machine Learning?
What is Deep Learning?
What is Data Science?
AI in software testing.
AI in software automation testing.
Demo using testim.io
[DevDay2019] How AI is changing the future of Software Testing? - By Vui Nguy...DevDay.org
Artificial intelligence (AI) has been changing the way software is tested and how humans interact with technology. AI predicts, prevents and automates the entire process of testing using algorithms. It will not only support and improve the models and test cases but also provide more sophisticated and refined form of text recognition and better code generators. Using AI will help to save time for testing and ensure a better quality software.
Artificial intelligence (AI) is the most important technology for software testers to understand today. All software will soon have AI-powered components, and they are unlike anything you’ve ever tested before. As risky as AI can be, it is a powerful weapon for testers to solve some of their most painful testing challenges today. The web was great, mobile is interesting, but AI will truly change the way you build and test all software. Jason Arbon gives a brief introduction to AI and machine learning (ML) so you can nod your head knowingly when the topics come up. Explore how products that leverage machine learning are tested at Google, Microsoft, and new startups. Learn the basics of labeling data, training sets, testing sets, measuring quality, and the risks of retraining neural networks. Even learn how to apply AI and ML to your own testing work today. Join Jason to get a glimpse into the new world where we will work hand-in-hand with our new AI bot friends. Don’t miss the AI train—it will change everything.
Functional to Visual: AI-powered UI Testing from Testim and ApplitoolsApplitools
As leaders in the application of AI to test automation, Applitools and Testim have come together to simplify test creation, maintenance and execution. Join this webinar to learn how you can elevate your approach to test automation with AI-powered codeless functional and visual UI testing.
AI and ML Skills for the Testing World TutorialTariq King
Software continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still requires significant manual effort. Tariq King and Jason Arbon introduce you to the world of AI for software testing. Learn the fundamentals behind autonomous and intelligent agents, ML approaches including Bayesian networks, decision tree learning, neural networks, and reinforcement learning. Discover how to apply these techniques to common testing tasks such as identifying testable features, generating test flows, and detecting erroneous states.
To produce better results, AI testing uses automated software tools that use artificial intelligence (AI), typically machine learning. These apparatuses can defeat many of the normal obstacles of computerized programming testing.
To learn more about AI Testing, Visit: https://www.kiwiqa.com/ai-testing-services.html
Agenda:
What is Artificial Intelligence ?
What is Machine Learning?
What is Deep Learning?
What is Data Science?
AI in software testing.
AI in software automation testing.
Demo using testim.io
[DevDay2019] How AI is changing the future of Software Testing? - By Vui Nguy...DevDay.org
Artificial intelligence (AI) has been changing the way software is tested and how humans interact with technology. AI predicts, prevents and automates the entire process of testing using algorithms. It will not only support and improve the models and test cases but also provide more sophisticated and refined form of text recognition and better code generators. Using AI will help to save time for testing and ensure a better quality software.
Artificial intelligence (AI) is the most important technology for software testers to understand today. All software will soon have AI-powered components, and they are unlike anything you’ve ever tested before. As risky as AI can be, it is a powerful weapon for testers to solve some of their most painful testing challenges today. The web was great, mobile is interesting, but AI will truly change the way you build and test all software. Jason Arbon gives a brief introduction to AI and machine learning (ML) so you can nod your head knowingly when the topics come up. Explore how products that leverage machine learning are tested at Google, Microsoft, and new startups. Learn the basics of labeling data, training sets, testing sets, measuring quality, and the risks of retraining neural networks. Even learn how to apply AI and ML to your own testing work today. Join Jason to get a glimpse into the new world where we will work hand-in-hand with our new AI bot friends. Don’t miss the AI train—it will change everything.
Functional to Visual: AI-powered UI Testing from Testim and ApplitoolsApplitools
As leaders in the application of AI to test automation, Applitools and Testim have come together to simplify test creation, maintenance and execution. Join this webinar to learn how you can elevate your approach to test automation with AI-powered codeless functional and visual UI testing.
AI and ML Skills for the Testing World TutorialTariq King
Software continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still requires significant manual effort. Tariq King and Jason Arbon introduce you to the world of AI for software testing. Learn the fundamentals behind autonomous and intelligent agents, ML approaches including Bayesian networks, decision tree learning, neural networks, and reinforcement learning. Discover how to apply these techniques to common testing tasks such as identifying testable features, generating test flows, and detecting erroneous states.
Machine Learning. What is machine learning. Normal computer vs ML. Types of Machine Learning. Some ML Object detection methods. Faster CNN, RCNN, YOLO, SSD. Real Life ML Applications. Best Programming Languages for ML. Difference Between Machine Learning And Artificial Intelligence. Advantages of Machine Learning. Disadvantages of Machine Learning
Presented at All Things Open RTP Meetup
Presented by Karthik Uppuluri, Fidelity
Title: Generative AI
Abstract: In this session, let us embark on a journey into the fascinating world of generative artificial intelligence. As an emergent and captivating branch of machine learning, generative AI has become instrumental in myriad of sectors, ranging from visual arts to creating software for technological solutions. This session requires no prior expertise in machine learning or AI. It aims to inculcate a robust understanding of fundamental concepts and principles of generative AI and its diverse applications. Join us as we delve into the mechanics of this transformative technology and unpack its potential.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
Building a Test Automation Strategy for SuccessLee Barnes
Choosing an appropriate tool and building the right framework are typically thought of as the main challenges in implementing successful test automation. However, long term success requires that other key questions must be answered including:
- What are our objectives?
- How should we be organized?
- Will our processes need to change?
- Will our test environment support test automation?
- What skills will we need?
- How and when should we implement?
In this workshop, Lee will discuss how to assess your test automation readiness and build a strategy for long term success. You will interactively walk through the assessment process and build a test automation strategy based on input from the group. Attend this workshop and you will take away a blue print and best practices for building an effective test automation strategy in your organization.
• Understand the key aspects of a successful test automation function
• Learn how to assess your test automation readiness
• Develop a test automation strategy specific to your organization
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretic
Learn more at: https://www.simplilearn.com
Keynote presentation from ECBS conference. The talk is about how to use machine learning and AI in improving software engineering. Experiences from our project in Software Center (www.software-center.se).
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
This is my complete introductory course for Software Test Automation.If you need full training that includes different automation tools (Selenium, J-Meter, Burp, SOAP UI etc), feel free to contact me by email (amraldo@hotmail.com) or by mobile (+201223600207).
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Introducing the Applitools Self Healing Execution Cloud.pdfApplitools
In this session with Applitools co-founder Adam Carmi, you will see the Applitools Execution Cloud in action, learn how self-healing works under the hood, and explore how you can execute your test suites in orders of magnitude faster and more stable than with any other test execution infrastructure.
Session recording and more info at https://applitools.info/ixn
Key takeaways:
• What is self-healing technology and why is it useful?
• Learn how self-healing works under the hood
• Learn how to run a Selenium test on the Applitools Execution Cloud
• Learn how to easily implement effective cross-device and browser tests
AI improves software testing by Kari Kakkonen at TQSKari Kakkonen
AI (Artificial Intelligence) can make software testing better, and it is already happening. My presentation at Test & Quality Summit online 16.9.2020 talks a bit about Artificial Intelligence / Machine Learning theory, then discusses through NASA code quality case the fact that AI can be very precise in spotting problems. Finally, I take a look at software testing industry, which already proves to have many AI-powered tools and projects. Thanks to the team at Knowit and all the references in the content. I hope all of us start accelerating towards reaping off the AI benefits.
Machine Learning. What is machine learning. Normal computer vs ML. Types of Machine Learning. Some ML Object detection methods. Faster CNN, RCNN, YOLO, SSD. Real Life ML Applications. Best Programming Languages for ML. Difference Between Machine Learning And Artificial Intelligence. Advantages of Machine Learning. Disadvantages of Machine Learning
Presented at All Things Open RTP Meetup
Presented by Karthik Uppuluri, Fidelity
Title: Generative AI
Abstract: In this session, let us embark on a journey into the fascinating world of generative artificial intelligence. As an emergent and captivating branch of machine learning, generative AI has become instrumental in myriad of sectors, ranging from visual arts to creating software for technological solutions. This session requires no prior expertise in machine learning or AI. It aims to inculcate a robust understanding of fundamental concepts and principles of generative AI and its diverse applications. Join us as we delve into the mechanics of this transformative technology and unpack its potential.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
Building a Test Automation Strategy for SuccessLee Barnes
Choosing an appropriate tool and building the right framework are typically thought of as the main challenges in implementing successful test automation. However, long term success requires that other key questions must be answered including:
- What are our objectives?
- How should we be organized?
- Will our processes need to change?
- Will our test environment support test automation?
- What skills will we need?
- How and when should we implement?
In this workshop, Lee will discuss how to assess your test automation readiness and build a strategy for long term success. You will interactively walk through the assessment process and build a test automation strategy based on input from the group. Attend this workshop and you will take away a blue print and best practices for building an effective test automation strategy in your organization.
• Understand the key aspects of a successful test automation function
• Learn how to assess your test automation readiness
• Develop a test automation strategy specific to your organization
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretic
Learn more at: https://www.simplilearn.com
Keynote presentation from ECBS conference. The talk is about how to use machine learning and AI in improving software engineering. Experiences from our project in Software Center (www.software-center.se).
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
Gain insights into the practical applications of ChatGPT, Bard, and other AI-based technological advancements, including GitHub CoPilot and Applitools Self-Healing Cloud, in this session with Anand Bagmar. Through specific use cases, Anand demonstrates how to enhance test automation processes—making them faster, more stable, and easier to implement.
Session recording and more info at applitools.com
Uncover how these tools can revolutionize your testing strategies and stay ahead of the curve in the ever-evolving world of test automation.
This is my complete introductory course for Software Test Automation.If you need full training that includes different automation tools (Selenium, J-Meter, Burp, SOAP UI etc), feel free to contact me by email (amraldo@hotmail.com) or by mobile (+201223600207).
Principles of Artificial Intelligence & Machine LearningJerry Lu
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Introducing the Applitools Self Healing Execution Cloud.pdfApplitools
In this session with Applitools co-founder Adam Carmi, you will see the Applitools Execution Cloud in action, learn how self-healing works under the hood, and explore how you can execute your test suites in orders of magnitude faster and more stable than with any other test execution infrastructure.
Session recording and more info at https://applitools.info/ixn
Key takeaways:
• What is self-healing technology and why is it useful?
• Learn how self-healing works under the hood
• Learn how to run a Selenium test on the Applitools Execution Cloud
• Learn how to easily implement effective cross-device and browser tests
AI improves software testing by Kari Kakkonen at TQSKari Kakkonen
AI (Artificial Intelligence) can make software testing better, and it is already happening. My presentation at Test & Quality Summit online 16.9.2020 talks a bit about Artificial Intelligence / Machine Learning theory, then discusses through NASA code quality case the fact that AI can be very precise in spotting problems. Finally, I take a look at software testing industry, which already proves to have many AI-powered tools and projects. Thanks to the team at Knowit and all the references in the content. I hope all of us start accelerating towards reaping off the AI benefits.
Bhadale group of companies projects portfolio - This is a list of public shareable projects for the past 10 years.Technologies used are AI / ML, Scala , Spark, Akka, Play, IoT, Hadoop, React, Javascript and several other related ones
DrupalDay 2014 - Ecology of value and DRUPAL@Engineering: the experience of a...SpagoWorld
The presentation supported the speech given by Gabriele Ruffatti -Head of Engineering Group’s Open Source Competency Center- at DrupalDay, taking place in Milan (Italy) on 14th and 15th November 2014. www.spagoworld.org
DDAY2014 - Ecologia del valore e DRUPAL@Engineering: l’esperienza di un grand...DrupalDay
Speaker: Rudy Demo e Gabriele Ruffati
Area: Business
L’esperienza di Engineering con Drupal è cominciata un po’ per caso un po’ per opportunità quando la Commissione Europea ci ha chiesto aiuto per completare, proprio in Drupal, lo sviluppo del proprio portale.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
My slides at SAST conference in Stockholm 11.4.2024.
I cover a bit of background why AI is a big thing and also testers want to use it and can use it.
Then we discuss following use cases for AI help to testing tools
- anomaly detection8 (like sorting real defects out of lots of defect reports)
- prediction (where to focus testing, based on risks, previous code data, defect data...)2
- test automation tools made more change tolerant when Software Under Test changes
- test script creation more efficiently (e.g using LLM or AI assistants in scripting software to propose you test cases, test script content)
- test automation done almost autonomously (e.g. having general or default tests run first by AI, or having test automation bots running your test automation cases continuously
AI improves software testing to be more fault tolerant, focused and efficientKari Kakkonen
My slides as Finnish Testing Meetup 28.2.2024
AI supports testing in multiple ways: test automation becomes more autonomous and fault-tolerant, test selection is easier after AI analysis and recommendation, and manual and test automation productivity goes up with generative AI. Some background too on AI in general.
AI improves software testing through test automation, test creation and test ...Kari Kakkonen
The early 2024 version of my How AI improve testing presentation that I delivery since 5 years ago in different conference, webinars and customer events abroad and in Finland.
It gives some background on AI and talks about AI opportunities: in short test automation getting more fault tolerant, generative AI bringing efficiency to test creation, and advanced test selection with AI.
Kari Kakkonen Climate Impact of Software TestingKari Kakkonen
FiSTB Testing Assembly conference slides by me about software testing impact on climate. In other words sustainability of software testing. Or green testing. Whatever you call it, software testing also has an impact on climate (the carbon footprint), which you can minimize. But you can also have a handprint which is the positive impact of our actions to the climate.
Software testing has a climate impact, there's a carbon footprint also from testing. Of course there's a carbon handprint too, as in most ICT - we get to reduce carbon emission elsewhere by implementing and testing good ICT. But we also need to take care of our own backyard, meaning we need to understand how we can minimize the use of test environments, optimize test sets etc. to use less energy.
This slide deck is my keynote presentation from the software testing confererence SANAE.BEER.EX in Bratislava 8.11.2023.
Slides from DSTB conference talk at Copenhagen 31.10.2023. Recap of the Dragons Out book project. How children can learn software testing through a fantasy story approach. Why should they? To get them interested in software early on, some of them ending up as coders and some as testers later on. Some feedback about children learning, from teachers and from children themselves. An exploratory testing checklist inspired by children. Insights into how children test and how professional testers can utilize that knowledge.
Talk at Testwarez conference. I discussed the fact the climate impact of ICT and also software testing must be reduced. ICT also carries part of the carbon footprint, and even though we can help other industries minimize their carbon footprint, we can also minimize our own carbon footprint. It is there, and it can be significant if we don't optimize what we do.
I talk about test environments, using cloud, optimizing test suites, using automation for testing and for infrastructure and for continuous delivery. Throughout you can optimize.
Early quality means less cost, which luckily also means less climate impact, so it is easily argumented when making changes into how we create and test software.
Knights of Quality: Immersive talk about software testingKari Kakkonen
My talk at Findmore Academy in Portugal, online, on Oct 11, 2023. In the slides I discuss my own journey to be Knight of Quality but I also talk about other kinds of Knights, the knights the battle dragons, in the fantasy stories. The knights represent developers and testers, and the dragons represent defects. The talk also summarize how a fun way to learn testing (a fantasy story parallel) can give additional insights into everyday testing life.
My slides at SEETEST conference in Bucharest 20.9.2023 about climate impact of software testing, which is part of sustainability in software testing. I talk about Green ICT and Green Testing, and how Testing can measure also the Climate Impact of software in addition to other quality characteristics of testing. Also I discuss how test environments and other testing actions can include climate impact minimizing activities. Testing can both help coding become more green and also minimize the carbon footprint of itself.
I shared my views about how to become a multitalented tester in the Tester of the Year award event at Tieturi on 30.3.2023. The award is given annually by TestausOSY (FAST) and Tieturi. This event announced the 2022 winner and I presented as the 2021 winner.
The presentation discussed 5 aspects of Testing Roles, routes to testing, and adding new roles and skills to become even more multitalented. I also shared my journey to become a multitalented tester.
The slides are in English even though this time I talked in Finnish.
Becoming a Multitalented Tester - at KDSKari Kakkonen
My slides at Knowit Developer Summit on 3 Feb 2023 in Copenhagen. I talked about different skills and backgrounds that make a tester, then about adding roles to your profiles, learning those skills, having the alternative visions or futures for you so that you can take the opportunities when they arrive. At the end I shared my journey to be what I am today, and gave some practical tips into learning continuously. More info at https://www.dragonsout.com and at https://www.knowit.fi
My talk at JMTL conference in Casablanca, Morocco - 10 minute brief on why testing is an important thing to teach to children along with coding, how I set up a book project Dragons Out to author the book to teach software testing to children, how fantasy works as a great storytelling way to teach software testing to all ages (10-99), where the book is used in schools, exploratory testing checklist inspired by children.
Ohjelmistotestauksen opetuksen kokemuksia fantasiatarinan avullaKari Kakkonen
ITK-messujen esityksen 6.10.2022 jossa kerroin miksi testausta tarvitaan, miksi testausopetusta tarvitaan koodausopetuksen rinnalle, miten tein kirjaprojektin Dragons Out, jossa loin kirjan ohjelmistotestauksesta lapsille, miten fantasia toimii hyvänä tapana kertoa esimerkkien ja vertausten kautta ohjelmistotestauksesta, missä ja miten koulumaailma on hyödyntänyt tätä lähestymistapaa (ja kirjojani ja niiden ilmaisia oheismateriaaleja) - matematiikan ja koodauksen tunnit, 10-15 vuotiaat.
Becoming Multitalented Tester - Kari KakkonenKari Kakkonen
My slides at FiSTB Testing Assembly 2022 conference on 22.9.2022 https://testingassembly.fistb.fi/
I discussed the skills of testers, the background of testers, routes to be testing and finally how to become multitalented - meaning how you know many things, and can do many things. There's also an insight to my own career of adding up many roles within testing and around it, in Agile and DevOps.
Slides from Testit 2022 conference in Malmö, Sweden. I talked about my Dragons Out! book project to educate children about software testing, fantasy as a way to teach testing, experiences of how children learn testing, and also how adults can learn in a similar fashion.
How Children Learn Testing Kari Kakkonen Odin conference.pdfKari Kakkonen
My slides at Odin conference, Oslo, 25.11.2021 about How Children Learn Testing. I talked about the book project Dragons Out, things I've learned about how children learn testing, fantasy examples of how to tell about testing in a different way.
Insights from children about testing at NTD2022Kari Kakkonen
My slides from NTD2022 (Nordic Testing Days 2022) conference in Tallinn. I talked about "Insights from children about testing; how children who've read the Dragons Out book about software testing learn". The talk included a competition of drawing a knight (that represents a tester). The flow of the presentation: Dragons Out book project recap, why children should learn testing, how fantasy provides great analogies to explaining software testing, how children have learned through this fantasy approach, what are the six takeaways of how children learn and how can adults utilize those takeaways in their own learning, and testing.
Insights from children about testing; how children who've read the Dragons O...Kari Kakkonen
My keynote slides from Live2Test online conference. I talked about the Dragons Out book project, about how fantasy can be used to teach software testing, why and how children learn software testing, some results from kids learning to test, and then takeaways how adults can learn better utilizing the similar ways as how children learn. You can find the Creative Commons version of this presentation, which is a learning material for any schools, in a great number of languages here https://www.dragonsout.com/p/presentation-for-teachers.html.
You can order the book through e.g. https://www.dragonsout.com/p/order-dragons-out-book.html
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
2. A Nordic powerhouse
for digital solutions
4,000+
/ Professionals
6 countries
/ Sweden, Norway, Finland,
Denmark, Germany and Poland
4 business areas
/ Solutions, Experience, Connectivity and Insight
468.0 MEUR
/ Net sales
Nordic ESG champions
/ Clear vision to accelerate the sustainability agenda
47.5 MEUR
/ Adjusted operating profit (EBITA)
4. Mark has over 10 years of software development experience in three main areas: AI/ML prototyping,
traditional software development, and computer science research. His passion is in sky-rocketing domain
of AI/ML. Mark has worked with NLP, Deep learning, classification, speech-to-text-systems and he has
been co-author of several scientific papers.
.
TECHNOLOGY
• Java
• Python
• React
• Spring Boot
• Node.js
• Keras
• TensorFlow
• DialogFlow
• AWS
• Azure
• Google Cloud
• GitLab
• Docker
COURCES AND CERTIFICATIONS
• AWS Certified Machine Learning,
Specialty
• AWS Certified Solutions Architect,
Associate
EDUCATION
• M.Sc. (Technology), Theoretical
Computer Science (main),
Software Systems (minor),
Aalto University
Mark Sevalnev, Full Stack Developer
#AI/ML
#AWS
#Java
#React
ROLES
Full Stack Developer
AI Developer
Trainer
MORE INFORMATION
linkedin.com/in/marksevalnev
TECHNIQUES BENEFIT IN EXAMPLE PROJECTS
• Developing a 3D virtual avatar working as a service desk operative as
follows: The existing React.js code was modified to match different
business requirements. API integrations were implemented with cloud
services (AWS) and designed the login for chat bot conversations. Used
main tools: React.js, Dialogflow, AWS, and Google Cloud.
• AI prediction algorithm to predict future values in the HR process such as
time needed for recruitment, etc. The following professional skills were
needed: Data investigation, fetching, cleaning and preparation, designing
and implementing AI/ML algorithm, and deploying solution to the cloud.
Used main tools: Python, Pandas, Numby, Keras, and Sckit-learn.
• PoC for Optical Character Recognition
(OCR): As AI developer, building.
ETL for OCR of scanned documents.
Deploying a solution to AWS Fargate
running inside Docker containers,
and configuring orchestration of
ETL pipe using Airflow with the
following subtasks: Documents
converting to gray scale, OCR,
content classification with NLP,
storing results into ElasticSearch.
4
26.1.2023
5. • Miten tekoäly poikkeaa normaalista
ohjelmistosta?
• Tekoälyn testauksen alueet
koneälyn opetuksessa
• Tekoälyn testaustapoja
Agenda
Copyright Knowit Solutions Oy 2021 5