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Automation

Top 10 Desktop Automation Tools For Testing That QA Teams Should Know

When compared with web testing or mobile testing, desktop testing has relatively lower demand. The widespread adoption of web and mobile applications as well as the increasing reliance on online services is the reason why. However, for businesses where desktop applications are still in use, having a decent tool for this activity is a must. In this article, we list down the top 10 desktop automation tools for you to choose from.

Want to Succeed in the AI Economy? Embrace AI Workflow Automation

Ready or not, AI workflow automation is poised to transform business operations from the shop floor to the C-suite in the AI economy. The situation is a byproduct of the generative AI boom. And yet, so many companies have hardly scratched the surface of AI automation’s full potential in their business operations. The more these companies get AI workflow automation to work for them, the more agility, efficiency, productivity, and economies of scale they’ll get back for themselves.

What are the benefits of an automated test framework?

What exactly is a test automation framework? How do you use it? What are its benefits? And can you liken it to Lego building blocks? These are some of the questions that our host Jason Baum dives deep into in this episode, with panelists Nikolay Advolodkin and Marcus Merrell joining in on the discussion.

Automation for Private API Integrations | A New Era

The traditional approach to private or internal Application Programming Interface (API) integrations, characterized by labor-intensive and error-prone manual processes, is rapidly becoming obsolete. This method, limited by its time-consuming nature and lack of scalability, is giving way to an era of automation. Automated API integrations marks a significant leap forward, offering unparalleled efficiency, accuracy, and the ability to evolve.

AI vs. Automation: Decoding the Differences for Business Success

The business landscape is undergoing radical change across industries, driven by artificial intelligence (AI) and automation. This article will differentiate AI and automation, debunk misconceptions, and highlight what business leaders need to know to navigate the challenges of integrating AI and automation across the value chain. So what’s the difference between AI and automation? AI and automation have distinct purposes.

Unlock the Power of Data with AI, Machine Learning & Automation - Do More With Qlik - Episode 48

Explore the transformative potential of Qlik Cloud, featuring advanced AI capabilities, seamless automation integration, and robust Machine Learning for enhanced predictability. Join Rocco Pecroa and Mike Tarallo from Qlik as they uncover how Qlik Cloud can revolutionize the data analysis process, providing a new way for analysts to engage with their data.

Key Areas for Automating Your eProcurement Process

Procurement officers in state and local government agencies have a lot of responsibilities, including: It’s a highly strategic role, so it follows that a procurement officer’s time and effort should be spent on decision-making and not on mundane or administrative tasks. Requiring them to focus on tedious tasks like invoice processing is not a good use of their time. It would be akin to expecting a CEO to reconcile receipts against travel reports or to schedule and reschedule meetings.

5 ways to accelerate IT modernization with test automation

The landscape of public sector IT is evolving rapidly, driven by initiatives like the Technology Modernization Fund and an increased focus on digital transformation. However, the shift to modern platforms and applications comes with its own set of challenges, particularly in the realm of testing. Traditional manual testing can be slow, error-prone, and expensive. Here are five ways the right automated testing tools can drive public sector IT modernization and accelerate innovation.

Test Automation in the AI Era: Embracing Change to Stay Ahead

In the ever-evolving landscape of software testing, the advent of Artificial Intelligence (AI) has not just been a game-changer; it’s been a paradigm shift. Test automation, once a static process, has metamorphosed into a dynamic and intelligent entity, reshaping how we approach quality assurance.