DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. This is where software testing comes in. As software systems become more complex, testing becomes more critical than ever.

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Artificial Intelligence Systems IoT Testing 130

Testsigma

FEBRUARY 18, 2020

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

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

QAMentor

MARCH 25, 2019

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. It has become more of a buzzword in recent years.

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Artificial Intelligence Software Software Testing 45

DZone

JUNE 28, 2021

Additionally, emerging technologies like artificial intelligence and blockchain have given a competitive edge to enterprises. For gaining maximum benefits out of automation testing , testers require hands-on experience in a minimum of one automation programming language.

Programming 363

Programming Artificial Intelligence Blockchain Java 363

DZone

APRIL 15, 2020

Recently, automated software testing has been widely identified as a game-changer for software projects. With artificial intelligence quickly gaining traction, total automation sounds like an inevitable reality. At the starting point, automated testing does require considerable investment.

Artificial Intelligence 170

Artificial Intelligence Testing Games Efficiency 170

TechBeacon Testing

AUGUST 28, 2020

Organizations that adopt artificial intelligence (AI) in testing of microservices-based applications gain better accuracy, faster results, and greater operational efficiency.

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Artificial Intelligence Testing Efficiency 142

TechBeacon Testing

AUGUST 10, 2021

Artificial intelligence (AI) and machine learning (ML) allow companies to close the testing gaps and are best applied when they augment people’s expertise and capabilities to process real-time data.

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Artificial Intelligence Testing Processing 108

DZone

JANUARY 12, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from healthcare and finance to autonomous vehicles and Algorithmic trading. This is where Chaos Engineering steps in, offering a novel approach to test and enhance the robustness of AI-driven systems.

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Artificial Intelligence Systems Engineering Healthcare 109

TechBeacon Testing

NOVEMBER 8, 2021

Applications that use artificial intelligence and machine learning techniques present unique challenges to testers. These systems are largely black boxes that use multiple algorithms—sometimes hundreds of them—to process data in a series of layers and return a result.

Artificial Intelligence 126

Artificial Intelligence Software Software Testing 126

Dynatrace

FEBRUARY 28, 2024

The VAPO platform is used to develop, test, and deploy containerized application and middleware workloads that support 400,000 VA employees and 20 million veterans. VAPO relies on Dynatrace and its integration with Red Hat to monitor application development and testing within containers to ensure optimal performance and security.

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

Dynatrace

MARCH 26, 2024

The artificial intelligence (AI) age has arrived and the public sector is steadily moving forward with AI advancements. According to Gartner®, “annual global survey of over 2,400 CIOs and technology executives found that 25% of governments have deployed, or plan to deploy GenAI in the next 12 months. ” 1 Within the U.S.

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Government Artificial Intelligence Energy Education 180

DZone

MAY 3, 2019

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. In 2019, we are expecting a lot of new changes in the web and this further poses a challenge in the testing cycle.

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Artificial Intelligence Testing Virtualization Website 174

Dynatrace

JULY 31, 2023

We believe integrating Rookout into the Dynatrace platform and leveraging the artificial intelligence and automation capabilities Dynatrace is known for will accelerate this mission.

Code 204

Code Artificial Intelligence Government Performance Testing 204

Dynatrace

APRIL 18, 2024

Shifting left is an approach that includes software quality, performance, and security testing as a part of the SDLC. The role of AI in DevSecOps When integrated into DevSecOps, artificial intelligence (AI) helps teams transform data into an actionable asset for automating workflows across development, security, and operations.

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DevOps Engineering Artificial Intelligence Infrastructure 153

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Emerging security threats.

Healthcare 224

Healthcare Artificial Intelligence Innovation Strategy 224

Dynatrace

APRIL 3, 2023

One way the agency saves money and resources is by shutting down the test environment every night and on the weekends. When the UK Home Office first shut down these programs, the artificial intelligence-based tools had to adapt to the environment disappearing overnight.

Efficiency 189

Efficiency Social Media Artificial Intelligence Cloud 189

TechBeacon Testing

MARCH 4, 2021

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. In particular, how can you tell whether or not a response is correct?

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Artificial Intelligence Testing Software Software 100

TechBeacon Testing

FEBRUARY 12, 2020

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

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Artificial Intelligence Testing Software Software 108

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

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Artificial Intelligence Healthcare Retail Government 203

Dynatrace

JANUARY 4, 2024

Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. Dynatrace makes sure that we continually test Davis AI to ensure repeatability and ability to deliver deterministic results. Data privacy and end-to-end security.

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Artificial Intelligence Strategy Traffic Virtualization 230

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Many changes are rendered through automated testing. IoT Test Automation.

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Artificial Intelligence Software Software IoT 92

Dynatrace

JUNE 22, 2023

He discusses the criticality of private-public partnerships and the role of the cloud in testing and comparing solutions. Follow the Tech Transforms podcast Follow Tech Transforms on Twitter , LinkedIn , Instagram, and Facebook to get the latest updates on new episodes!

Artificial Intelligence 130

Artificial Intelligence Cloud Systems Tuning 130

DZone

DECEMBER 17, 2020

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. Episode Highlights.

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Artificial Intelligence Performance Testing Testing Performance 100

Dynatrace

OCTOBER 4, 2023

Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. A multi-layered approach applies security testing in all stages of development and across devices, applications, networks, and infrastructure.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

DZone

MARCH 7, 2021

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. Gone are the days when we had apps only to play games on mobile devices. Importance of Omnichannel Communication and Devices.

Artificial Intelligence 189

Artificial Intelligence Mobile Games Internet 189

Testsigma

MARCH 12, 2021

Robotic Process Automation and Test Automation are two confusing terms in testing processes. Similar to TDD and BDD processes, RPA and test automation seem like a single branch of the test segment which is common to be exchanged in communication during planning. What is Test Automation?

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Artificial Intelligence Testing Energy Analytics 97

Testsigma

JANUARY 7, 2022

2014 saw the trend of mobile app testing as they were becoming a multi-billion dollar business all over the world. 2015 saw the trend of scriptless testing and IoT focussed methodologies. So the trend of mobile web testing came into the picture. AI and Machine learning-based testing.

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Artificial Intelligence IoT Software Software 89

Dynatrace

JANUARY 26, 2024

From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. The user group participants emphasized the need for extensive testing in AI implementation. This aligns with the broader objective of responsible AI development and deployment.

Government 208

Government Artificial Intelligence Innovation Programming 208

TechBeacon Testing

JANUARY 14, 2020

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. More than ever, software quality drives business growth.

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Artificial Intelligence Software Software Testing 87

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

Dynatrace

JANUARY 13, 2022

But the complexity of multicloud platforms and microservices architecture makes it hard to run DevOps efficiently without the aid of artificial intelligence and automation. This kind of orchestration among tools helps free teams’ time so they can focus on their core mission: creating and testing quality code.

DevOps 264

DevOps Speed Artificial Intelligence Innovation 264

Dynatrace

OCTOBER 31, 2023

In attempting to address this difficult workforce challenge, chief information security officers (CISOs) are considering automation and artificial intelligence (AI) defense tools as a cost-effective, highly efficient option. There are now 3.5 million global vacancies for the profession, up from 1 million vacancies ten years ago.

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Artificial Intelligence Energy Government Technology 181

Dynatrace

APRIL 21, 2023

By detecting errors and bugs before they’re deployed to production, we save money on development and testing and better serve the citizens of our state.” That’s why teams need a modern observability approach with artificial intelligence at its core.

Innovation 179

Innovation Speed Artificial Intelligence Government 179

Dynatrace

NOVEMBER 2, 2022

Autonomous testing. As teams develop software more quickly, they can’t rely on manual methods to test applications. Today, software development teams use artificial intelligence (AI) to conduct software testing so they can eliminate human intervention. Chaos engineering.

Software 191

Software Software Artificial Intelligence DevOps 191

Dynatrace

APRIL 26, 2022

To combat Kubernetes complexity and capitalize on the full benefits of the open-source container orchestration platform, organizations need advanced AIOps that can intelligently manage the environment. Cloud-native observability and artificial intelligence (AI) can help organizations do just that with improved analysis and targeted insight.

Cloud 222

Cloud Artificial Intelligence DevOps Scalability 222

Dynatrace

FEBRUARY 10, 2022

The Dynatrace artificial intelligence engine, Davis , and our Cloud Automation module adaptively trigger these solutions during required steps in the SDLC. Connect to JFrog Pipelines , Atlassian Bitbucket , GitLab , or Azure DevOps to automatically deploy applications into various stages, from staging and testing to production.

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Artificial Intelligence DevOps Azure Cloud 226

O'Reilly

NOVEMBER 29, 2022

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”.

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Social Media Artificial Intelligence Media Government 110