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

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?

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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.

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.

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. PostgreSQL users can quickly familiarize themselves with this database type, as many of the features, configurations and functionality are the same in Greenplum, and includes features designed to optimize how PostgreSQL works for business intelligence (BI) tasks and workloads.

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?

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.

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? Depending on where you are in your release process, you might be writing unit or systems tests. But, you need to run end-to-end tests to prove behavior, and quality engineers require a high degree of skill to write end-to-end tests successfully.

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.

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. Speaking to longer-term trends, only 2% of respondents said AI has no part in their future plans.

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.

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

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.

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.

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 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.

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.

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.

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.

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.

Could intellectual debt derail your journey to the autonomous cloud?

Dynatrace

One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis. Dynatrace news.

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Why you need Dynatrace on Azure Workloads

Dynatrace

While it may seem that Azure Monitor and Dynatrace are in the same space of collecting metrics, the way Dynatrace adds automation and intelligence to the data elevates Dynatrace away from the Application Performance Monitoring/Gen2 monitoring pack. Operations: Responsible for ensuring flawless performance of the overall applications they support requires real-time, contextual data, powered by built-in Artificial Intelligence to avoid war rooms. Dynatrace news.

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What is AIOps? A Software Intelligence Approach

Dynatrace

AIOps is the terminology that indicates the use of, typically, machine learning (ML) based artificial intelligence to cut through the noise in IT operations, specifically incident handling and management. Webinar Series: AIOps with Dynatrace software intelligence. Dynatrace news.

Intellectual debt: The hidden costs of machine learning

Dynatrace

The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. Dynatrace news. Many of us are already familiar with technical debt.

Can AI-Driven Test Automation Enhance Test Automation?

Testsigma

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Software Testing has changed a lot!

How I jumped from software testing to data science

TechBeacon Testing

Today, I even build artificial intelligence (AI) models for recommender systems, chatbots, and cutting-edge privacy protection algorithms. My journey from testing into data science was pretty straightforward. First, I learned how to break software, then to monitor production services for regressions, and finally to build models to optimize user experience.

CIO research: Cloud complexity of growing concern

Dynatrace

Our research revealed that many organizations – 88% of CIOs to be precise – believe that the use of artificial intelligence (AI) will be paramount to IT’s ability to overcome this increasing complexity, and management of IT performance problems. Dynatrace news. My favorite slide, that I used in nearly every one of my presentations, is a simple statement; “You have one of the hardest jobs in the world.”.

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The impact of intellectual debt on IT operations

Dynatrace

The accuracy of the machine learning system’s answers will be artificially inflated. One could imagine a scheme to artificially promote machine learning suggestions to increase EC2 processing or bandwidth resources, where an anonymous beneficiary might skim pennies from each instance hour.

Digital Business Analytics: Accelerating your dashboard journey

Dynatrace

With advancements in artificial intelligence (AI), machine learning and self-healing, one begins to wonder if dashboards are even needed anymore. Dynatrace news. We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs.

What is Application Performance Monitoring?

Dynatrace

The Dynatrace Software Intelligence Platform provides, all-in-one advanced observability, with AI-assistance to enable teams to automate operations, release software faster, and deliver better business outcomes. Dynatrace news.

Stuff The Internet Says On Scalability For June 22nd, 2018

High Scalability

Hey, it's HighScalability time: 4 th of July may never be the same. China creates stunning non- polluting drone swarm firework displays. Each drone is rated with a game mechanic and gets special privileges based on performance (just kidding). TicToc ). Do you like this sort of Stuff?

Best practices for alerting

Dynatrace

Use the Artificial Intelligence”, it is not a Jedi Trick. Dynatrace news. Old School monitoring. I have worked on many accounts where Dynatrace replaced tools such as Nagios and Solarwinds. Basically, what we call “first-generation” monitoring software. These older tools require a lot of manual effort to set up correctly, especially when configuring alerts. They gather information infrastructure data such as CPU, memory and log files.

Call for Code asks developers worldwide to collaborate on solutions to save lives

O'Reilly Software

They’ve identified six areas where technology can make a real difference in disaster preparedness: blockchain, artificial intelligence, logistics, data science, sensor data processing, and visual recognition. The O’Reilly Media Podcast: Daniel Krook, IBM developer advocate, on the Call for Code Global Initiative at IBM. Disasters hit unexpectedly and cause life-threatening issues across the world.

Improving Customer Service with Amazon Connect and Amazon Lex

All Things Distributed

When we set out to build Amazon Connect, we thought deeply about how artificial intelligence could be applied to improve the customer experience. We think artificial intelligence has a lot of potential to improve the experience of both customers and service operations. Customer service is central to the overall customer experience that all consumers are familiar with when communicating with companies.

12 Latest Software Test Automation Trends To Look For In 2020

Testsigma

Automation using Artificial Intelligence(AI) and Machine Learning(ML). Advancements in technology improve the lives of people and save time and money for organizations year after year and there is no reason that the next year, 2020 will be any different.

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Top Benefits of Data-Driven Test Automation

Testsigma

In current times data is everything- Big Data, AI (Artificial Intelligence) and ML (Machine learning) endorse this fact with the highest splendour. According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

How to fine tune failure detection

Dynatrace

Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. Dynatrace news. Failure detection with services. When I work with customers, I usually get their requirements to alert on failures. This is especially true when Dynatrace replaces an older generation of monitoring software. Typically, these products rely on hand-crafted rules from error logs.

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