Categoty:

Artificial intelligence

Here’s how QA professionals can prepare for an AI-dominant future in software testing. Upskill in AI fundamentals and automated testing, explore emerging roles, and embrace continuous learning in this transformative landscape for a successful career.

Welcoming the Inevitable: How QA Professionals Can Prepare for an AI-Dominant Future

Explore the transformative potential of AI-augmented testing in software QA, offering insights into its efficiency, precision, and the synergy between AI and human testers.

What Exactly is AI-Augmented Testing?

Big data is a game-changer for businesses of all sizes. Scalable cloud solutions, open-source tools, and strategic outsourcing have dismantled barriers, placing advanced analytics within reach.

Democratizing Data: A Look at Big Data's Potential for Small and Medium Businesses

Our Deep Learning series concludes with a feature on mission-critical domains. Learn more about how mission-critical operations are leveraging deep learning to benefit from adaptive decision-making, scalability and efficiency.

Learning about deep learning: Applications in Mission-critical Domains

Part 2 of our Deep Learning blog series explores the transformative potential of transfer learning and reinforcement learning techniques. Learn about real-world applications and how these techniques can optimize decision-making and drive innovation.

Learning about Deep Learning: Transfer Learning & Reinforcement Learning, part 2

Deep learning encompasses neural network architectures and generative models, which are key concepts in this field.

Learning about Deep Learning: Neural Network Architectures and Generative Models

5 absolutely essential books on Machine Learning for any level

The Best Books to Learn About Machine Learning in 2023

AI/ML models require cloud servers to optimize their performance. In this post, we will dive into the reasons why AI technology necessitates the use of cloud servers and the advantages that can be anticipated.

Why AI/ML Testing Needs Cloud Infrastructure

A detailed look at how different software testing tools use AI to enhance testing, including visual testing, unit testing, quality optimization, and performance testing.

Different Ways to Use AI to Augment Software Testing

Functionize is a world-leading AI-powered test automation platform. But this is only possible because we collect a vast volume of data. Read on to learn why.

What data does Functionize collect, and why?

AI is here to stay, but should you build your own solution or buy one off the shelf? Here, we look at the pros and cons of building your own AI testing tool

Building Your Own AI-Testing Tool: Pros and Cons

AI lets us deliver the most reliable test automation platform out there. But as we explain, this is only possible because our system learns by making mistakes.

Learning from its mistakes. How the Functionize AI really works

CTOs have a hard job delivering digital transformation. Often, test debt is the blocker. Learn how AI cuts test debt to deliver faster digital transformation.

AI-powered testing. Why every CTO should leap at the opportunity.

AI test automation can transform testing for your company. But you might feel worried about your career. Here, we show why you needn’t stress about it.

AI test automation sounds great, but what’s in it for me?

Transitioning to a new test framework is a big step for any team. Here, we give you the knowledge you need to successfully transition to AI-powered testing.

4 winning approaches to migrate to AI powered testing

Modern web applications need a different approach to testing. Here, we see how AI-powered solutions increase the number and type of tests you can automate.

The top 10 test cases that benefit from AI power

Digital Experience Monitoring focused on metrics like availability and backend performance. But do they guarantee your customers' constant positive experience?

Why AI is essential for continuous digital experience monitoring

The software market is highly competitive, so you need any edge you can get. QA productivity may be a blocker. We show you how AI improves it.

How AI helps you improve software testing productivity

3 Reasons not to worry about AI replacing your testing job

Read about Artificial Intelligence from Functionize. Click now to learn why to trust AI for testing.

Why should you trust AI for testing?

Discover the top AI trends in testing, with the changing QA landscape, growth of continuous testing, the rise of shift left and a lot more!

Top AI Trends in Testing for 2021

Functionize 4.0 introduces SmartFix, a powerful feature that helps testers with debugging and fixing broken tests in test maintenance.

SmartFix: 3 ways it solves your test maintenance headache

So many products promise to be ML/AI when they are just an impressive algorithm. But smart isn't the same as intelligent when it comes to the minds of machines.

Things that are called ML/AI that really aren’t

AI and Machine Learning can make life easier for software testers, but they’re no quality-assurance panacea. Here’s what these technologies are best suited for.

How to incorporate AI and Machine Learning into QA

Functionize is the winner at the 2019 AIconics Awards

Machine learning is at the heart of AI. But most ML models need to be trained. Here, we see how humans are essential for creating good training data.

Machine learning and the humans behind the screen

Software testing is expensive – it can often cost up to 40% of the total budget. Here we look at 5 ways to avoid budget overflow through AI test automation.

AI test automation: 5 ways to avoid budget overflow

Boosting ML models allows you to eliminate bias, improve model accuracy, and boost performance.

Boosting ML models to create strong learners

Dynamic IDs cause problems for test scripts. Here we see how AI helps, & contrast a dumb application of AI with Funcitonize's intelligent approach

Handling dynamic element IDs with AI

Functionize’s NLP makes English the language of testing. We explain why this reconnects you with your users and contrast it to traditional test automation.

How NLP reconnects you with your end users

For the last few years, Artificial Intelligence has dominated the world of technology. But what is AI? How many so-called apps are an intelligent use of AI?

What Is Artificial Intelligence - When Is an AI Not An AI?

If applied in the right way, AI business transofrm betters processes, boosts efficiency, and give significant ROI. Learn more in the article!

AI Business Transformation - Getting It Right

AI test automation can bring you real benefits. We look at it is, your strategy for using it, and how it can impact your bottom line.

AI test automation – a 101 for executives

Infrastructure and operations (I&O) is ripe for AI transformation. We look at how and why you might use AI for Infrastructure management & operations.

AI Transformation for Infrastructure and Operations

Artificial intelligence is a true game chaning technology. But is AI good or bad for society? Discover more about this topic.

Is AI Good For Society? - The Good, The Bad & The Ugly

Have you ever wondered "Is AI really intelligent or not?" And what do we actually mean by artificial intelligence in the context of software testing?

AI - Artificial, Yes, But is AI Really Intelligent?

In this blog, we’ll explain why AI-based system testing is such a hard problem and look at how autonomous template recognition can help!

Autonomous Template Recognition

Are we prepared to QA artificial intelligence? In this blog we will look at the real impact AI will have on you as a QA engineer

Is QA/Testing Prepared For Artificial Intelligence?

A closer look at how AI can be used to improve software testing, regression tests methodologies, machine vision visual processing, etc.

Ai In Software Testing - 3 Ways AI is Improving Software Quality

To make shift left testing possbile, you need to integrate some form of AI based test automation software like Functionize.

How AI Enables Shift Left Testing For Software Teams

A closer look at Functionize's noscripts, cloud based software testing platform using artificial intelligence, NLP ML, and machine vision.

No Scripts AI Software Cloud Based Testing

Machine Learning in AI software testing is a tool for extracting important features from fuzzy and fast-changing information.

AI Software Testing: Machine Learning

The first part in a blog series to promote greater clarity about what’s possible right now with AI in software testing. Check out the article for more!

AI Software Testing: Making QA ‘Smarter’

Explore how autonomous AI is being used to create new models for business, that improve the performance of their companies and protect the bottom line.

AI-Autonomous Models That Are Transforming Business

Part two of our series on AI's impact on business, and how neural networks, computer vision, visual intelligence are just a few that can empower all businesses.

Part 2: AI's impact on Business | Visual Intelligence

An overview of AI including influences on business and future implications of this driving force behind many of the greatest innovations in computing.

Impact of AI on business

Have a closer look at machine learning and deep learning, explore some of the nuances and break some myths.

Discovering the Children of AI: Machine Learning & Deep Learning

Discover how Functionize is revolutionizing the automated regression testing world with artificial intelligence.

Automated GUI Regression Testing Using AI Planning

Ready for an IQ/Test?