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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

QA Wolf , a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, Operator Partners and Thiel Capital and several angel investors (among them Peter Thiel).

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12 most popular AI use cases in the enterprise today

CIO

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

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DevOps engineer roles and responsibilities

Openxcell

Companies may use DevOps to speed up software development and release more reliable products. Across today’s business sector, the DevOps paradigm is rapidly being used in all development and operational stages. This is due to two factors. As a result, there is a growing demand for DevOps engineers. What is DevOps?

DevOps 52
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Software Testing – All You Need to Know

Openxcell

The last decade has seen a lot of evolution in the Software Testing and Offshore Software Development industry. It is, therefore, essential to ensure the effective functioning of the Software Development Life Cycle and that the application runs without failure. What is Software Testing? Software Testing Life Cycle (STLC).

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How to get started with your test automation strategy

Agile Engine

Automated testing relies on programming languages, specialized frameworks like Selenium or Cypress, or no-code and low-code tools to develop software tests and can also manage test data and analyze results more efficiently, ultimately enhancing the software quality assurance process.

Testing 52
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Cross-Platform Testing with AI/ML – Benefits & Challenges

Trigent

Accelerated adoption of digital has impaired users when it comes to the choice of device, operating system, browser as well as a platform to access any application. Cross-platform testing helps uncover application issues when ported across any combination of devices and operating systems. Call us now.

Testing 52