Test automation is an essential component in today's software development landscape, where speed and quality are critical. It ensures the timely delivery of high-quality software by automating repetitive and time-consuming testing tasks. However, the journey to effective test automation comes with challenges such as selecting the right tools, managing complex test cases, and enabling seamless integration of testing into the software development lifecycle.

Many organizations are turning to SharePoint to store their files and share documents. Allowing your systems to access these files might seem like a challenge at first, but with the help of the Microsoft Graph API, you can quickly download the file to start processing on your back-end. Download the example solution to get started. Use the created functions in your solution to simplify Microsoft Graph integration.

Microsoft Graph API allows developers to access data and services across a wide range of Microsoft cloud services. Admittedly setting up permissions and security can be challenging, but once that is sorted, you will be able to access Microsoft services such as Office365, Outlook and Azure. Calling the Graph API with Linx allows you to efficiently automate tasks, or integrate with Microsoft products to ensure that functionality and data is accessible by your other systems.

Learn how to implement end-to-end process automation strategies successfully. Discover which hyperautomation technologies drive immediate and future business impact in the Gartner® Emerging Tech Impact Radar: Hyperautomation Report. Discover which use cases you should focus on for business process automation. Download theGartner® Market Guide for Business Process Automation Tools.

Low-code is here to stay. In fact, Gartner anticipates the adoption of low-code development platforms will grow 20% per year to $44.5 billion by 2026. However, while low-code offers enterprise IT leaders undeniable advantages, its role in shaping the future of process automation is nuanced. This blog delves into the dichotomy of low-code's potential, exploring why it is the future but not the sole solution for process automation.

Intelligent automation is a term for the combination of process automation and artificial intelligence (AI). And it’s creating efficiency gains for enterprises across industries. In this article, discover intelligent automation examples that will illuminate common use cases that enterprises should consider adopting to improve efficiency and make space for innovation.

Learn about our reimagined version of Kwo Ding's original mobile test automation pyramid for modern DevOps practices.

What is hyperautomation for insurance? It might sound like just another buzzword, but let’s peel back the layers to see how hyperautomation works. Imagine this: you go on a deep dive to evaluate your insurance company’s processes and operational models. You discover inefficiencies, lag times, and that your team manages transactions with disparate, often manual processes. It’s clear you need a new solution. And the solution you need doesn’t currently exist.