The Role of Artificial Intelligence in Software Development and Testing

Kovair

According to Garter, artificial intelligence will be omnipresent in all spheres of technology and will successfully make its presence prominent among the top investment priority. The post The Role of Artificial Intelligence in Software Development and Testing appeared first on Kovair Blog. Application Lifecycle Management Technologies Test Management AI Artificial Intelligence Integrated Test Management Software development Test Automation

Dynatrace named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps) report

Dynatrace

We are excited to announce that Dynatrace has been named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), 2020 report. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

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How Artificial Intelligence Can Help Software Testing?

QAMentor

Artificial intelligence is currently being used in an array of sectors, from processing natural language to analyzing facial expressions, and more. However, it’s also important to understand that the capability of artificial intelligence is constantly evolving. For example, Alexa and Siri were once considered state-of-the-art, … The post How Artificial Intelligence Can Help Software Testing?

How Application of Artificial Intelligence is Transforming Business

Testsigma

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Artificial Narrow Intelligence. Almost all artificial machines built to date fall under this category. Artificial General Intelligence.

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

How AI improves microservices testing automation

TechBeacon Testing

Organizations that adopt artificial intelligence (AI) in testing of microservices-based applications gain better accuracy, faster results, and greater operational efficiency. App Dev & Testing, Testing, Test Automation, Microservices, Artificial Intelligence (AI), Test Automation

Testing AI-based apps? Think like a human

TechBeacon Testing

Your testing of software that includes artificial intelligence (AI) components will be more sophisticated and robust if you just think in human terms.

Modern approaches to observability and monitoring for multicloud environments

Dynatrace

To identify those that matter most and make them visible to the relevant teams requires a modern observability platform with automation and artificial intelligence (AI) at the core. Turning raw data into actionable business intelligence. AI-driven software intelligence.

Testing for bias in your AI software: Why it's needed, how to do it

TechBeacon Testing

When it comes to artificial intelligence (AI) and machine learning (ML) in testing, much of the interest and innovation today revolves around the concept of using these technologies to improve and accelerate the practice of testing.

AI in testing: 13 essential resources for QA pros

TechBeacon Testing

App Dev & Testing, Testing, Artificial Intelligence (AI), Test AutomationWhat if you could make software testing simple? What if it could be done without all the conversations, questions, defect reports, and metrics?

The future of software testing: Machine learning to the rescue

TechBeacon Testing

App Dev & Testing, Testing, Test Automation, Predictive Analytics, Quality Assurance (QA), Shift-left, Artificial Intelligence (AI), Machine LearningThe last decade has seen a relentless push to deliver software faster.

GraphQL, Data Sources, and Visual Testing

DZone

testing artificial intelligence testing tools graphql regression testing test engineers testing best practices technical leaderIn the ever-changing world of development, new tools are constantly popping up to help developers create and manage complex solutions with the ultimate goal of building a great experience for their customers.

Modern Dev Teams Are More Efficient Than Ever: Quality Engineering Should Be Too!

DZone

This XKCD cartoon captures life: devops performance testing automation artificial intelligence developer qa and software testing qa and testing development teams

How Do You Catch More Bugs In Your End-To-End Tests?

DZone

testing test automation code test bugs artificial intelligence (ai) hackathon end to end testing code maintenance test codeHow much is it worth to catch more bugs early in your product release process?

AI in testing: What it is, and why it matters

TechBeacon Testing

App Dev & Testing, Testing, Artificial Intelligence (AI), Test Automation, LookbookAI in testing is becoming mainstream. Some 21% of IT leaders surveyed said they are putting AI trials or proofs of concept in place, according to the 2019-2020 World Quality Report.

The Broken Promise of Test Automation: Why Are We Still Hand-Cranking Tests?

DZone

devops performance machine learning artificial intelligence test automation qa quality assurance continuous testing intelligent testingRemember when test automation was being peddled as a silver bullet for testing bugbears? Of course, those vendors really meant test execution automation. Automating test execution was going to increase coverage, minimize testing time, and overall reduce the amount of money being spent on testing. It would even butter your toast in the morning.

How to put AI to work on your performance engineering right now

TechBeacon Testing

App Dev & Testing, Testing, Artificial Intelligence (AI), Analytics, Machine Learning, Performance Engineering, Predictive Analytics, Performance Testing

How I Ran 100 UI Tests in Just 20 Seconds

DZone

technology testing app development test automation artifical intelligence user interface test automation tools ai artificial intelligence visual testingApplitools Visual AI then grabs a screenshot of each page, compares it to its baseline screenshot, and determines visual differences and the root cause unpinning them. In less than a minute, your cross-browser testing is done and your developers have what they need to fix any visual bugs.

Test automation tools: Top trends and challenges for 2020

TechBeacon Testing

App Dev & Testing, Testing, Test Automation, Artificial Intelligence (AI), Robotic Process Automation (RPA), DevOps SecurityTest automation tools have been steadily evolving—a trend that shows no sign of slowing down in the coming year.

Is Quality With Speed Really Possible in Software Testing?

DZone

Moving Intelligently in Competitive Times. software testing continuous delivery continuous integration artificial intelligence (ai) agile coding automated feedback solutionLiving in competitive times, it is very important for the applications to be as sophisticated and accurate as can be. There is no margin for any sort of gaps.

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Advancing Application Performance with NVMe Storage, Part 1

DZone

This has given rise to a completely new set of computing workloads for Machine Learning which drives Artificial Intelligence applications. performance machine learning ai artificial intelligence nvme parallel computing high performance workloadWith big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous.

Rise of the machines: The coming AI/testing singularity

TechBeacon Testing

Artificial intelligence (AI) is the next exponential technology trend, and it's knocking on your front door. App Dev & Testing, Testing, Artificial Intelligence (AI), Machine Learning, Special Coverage: STAREAST Conference 2019, Test Automation

How to Use AI for Software Testing

Kovair

Technologies Test Management AI Artificial Intelligence Continuous Testing Multiple Testing Tools Software developmentTechnology is ever-changing and evolving with every passing day. Something new comes up which improves the overall performance of a software. A lot of improvements. The post How to Use AI for Software Testing appeared first on Kovair Blog.

Perhaps Consciousness is Just Human Observability?

Adrian Cockcroft

This is different to the question of whether we can figure out how to create artificial intelligence, as I don’t think intelligence is a prerequisite for consciousness, its an attribute of more sophisticated conscious systems that allows us to interact with and view the internal model more directly than observing the raw behavior of the system. It’s possible for a human to be unconscious or asleep, without losing intelligence in the process.

STAREAST preview: 3 testing trends to watch

TechBeacon Testing

App Dev & Testing, Testing, Application Testing, Artificial Intelligence (AI Alan Page, who wrote How We Test at Microsoft and hosts a podcast about testing, once famously observed that testing, as a field, seemed stagnant. He proved his point by reviewing the sessions from a conference and showing how they were interesting today—even though that conference had taken place 10 years earlier.

Perhaps Consciousness is Just Human Observability?

Adrian Cockcroft

It’s possible for a human to be unconscious or asleep, without losing intelligence in the process. When we wake up, we’re intelligent again. artificial-intelligence free-will consciousness observability

Top Automation Programming Languages of 2021

DZone

Additionally, emerging technologies like artificial intelligence and blockchain have given a competitive edge to enterprises. Introduction.

5 Best Techniques for Automated Testing

DZone

Even in a new survey, 84% of participants stated that they think the implementation of Artificial Intelligence can provide them with a competitive advantage over competitors. New technologies and techniques are shaping the future at the same pace.

Misconceptions of the Automated Testing Debunked

DZone

With artificial intelligence quickly gaining traction, total automation sounds like an inevitable reality. Recently, automated software testing has been widely identified as a game-changer for software projects.

Cloud monitoring for the warfighter advantage with Paul Puckett

Dynatrace

Migrating to cloud-based operations from a traditional on-premises networked system also requires artificial intelligence and end-to-end observability of the full software stack. Dynatrace news. Paul Puckett, Director of the Enterprise Cloud Management Agency (ECMA).

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Will AI Perform Testing?

QAMentor

Many testers often wonder whether AI (Artificial intelligence) will threaten their existence in the future. This topic becomes even more important in the context of today’s tech-driven world where a huge number of software companies are steadily adopting high-end technologies like AI and ML. In this post, we’ve tried to find out will AI be … The post Will AI Perform Testing? appeared first on QA Mentor Blog. Software Testing

The best software testing conferences of 2019

TechBeacon Testing

Some may see testing as a fairly boring and static set of practices, but the leaders in this space know that it is a vibrant discipline that is constantly improving every year, thanks to exciting new techniques made possible by better automation tools and artificial intelligence.

Quality Sense Podcast With Júlio de Lima - Using ML to Understand Performance Test Results

DZone

In this Quality Sense episode, Federico Toledo has a chat with Júlio de Lima , an engineer at Capco, who recently completed his master’s degree in Electrical Engineering and Computing (Artificial Intelligence) and also co-founded GaroaQA , a meetup group with four locations across Brazil and over 2,000 members.

The best software QA and testing conferences of 2020

TechBeacon Testing

Some may see testing as a fairly boring and static set of practices, but leaders in this space know it is a vibrant discipline that is constantly improving every year, thanks to exciting new techniques made possible by better automation tools and artificial intelligence.

Web Testing Challenges Testers Will Encounter in 2019

DZone

And software testing is being forced to be reinvented every day due to the introduction of new technologies like artificial intelligence, virtualization, and predictive analysis. With the introduction of the agile methodology and transformation into the digital world, the software development lifecycle is changing rapidly and increasing the need for better software testing capabilities.

Advancing Application Performance with NVMe Storage, Part 3

DZone

Financial Analytics – Financial services and financial technology (FinTech) are increasingly turning to automation and artificial intelligence to fuel their decision making processes for investments. NVMe Storage Use Cases. NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. There are several AI/ML focused use cases to highlight.

The journey to modern manufacturing with AWS

All Things Distributed

From the Internet of Things (IoT) to Artificial Intelligence (AI) and task automation to predictive maintenance technology, the advancements in this space are creating a world of new opportunity.

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Device Coverage Report 2021

DZone

With the help of technologies such as Artificial Intelligence, the Internet of Things, Augmented and Virtual Reality , we are able to achieve more than what we could ever imagine. There are nearly 6 million apps that are distributed across the globe through different app distribution markets. This number is climbing as many more apps are being developed daily. Gone are the days when we had apps only to play games on mobile devices.

Software Testing Trends 2021 – What can we expect?

Testsigma

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation.

Infrastructure Monitoring tools: 3 steps to evolve ITOps into AIOps

Dynatrace

Leveraging artificial intelligence and continuous automation is the most promising path—to evolve from ITOps to AIOps. The final stage defines continual optimization and improvement through intelligent automation. Dynatrace news.

Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

To bring higher-quality information to Well-Architected Reviews and to establish a strategic advanced observability solution to support the Well-Architected Framework 5-pillars, Dynatrace offers a fully automated, software intelligence platform powered by Artificial Intelligence.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard. – Application of Artificial Intelligence to operations – as done at Mastercard. The CMG Impact conference (February 10-12, 2020 in Las Vegas) is coming.

What is APM?

Dynatrace

The Dynatrace Software Intelligence Platform provides all-in-one advanced observability. With intelligence into user sessions, including Real User Monitoring and Session Replay , you can connect experiences to business outcomes like conversions, revenue and KPI’s. Dynatrace news.