The latest automation trends are paving the way for what Gartner defines as "hyperautomation"—the philosophy that everything that can and should be automated will eventually be automated. However, many businesses seeking to harness the latest automation technology don’t know where to start. This blog highlights five timely trends in automation that should be on your digital transformation roadmap in 2024.

IoT startups serve various purposes such as increased performance, security, comfort, and entertainment. However, implementing IoT projects requires a mix of skills, knowledge, and technologies, including hardware, software, cloud computing, networking, and analytics. Of course, a key element of anу IoT solution is to pick an appropriate programming language that ensures the interaction between IoT devices and apps, processing, data storage, task execution, and user interaction.

We consistently hear from engineering leaders that automated test maintenance is a painful, mindless exercise that takes too much time away shipping code — the main goal of any startup software team. Our vision is to deliver end-to-end test automation that requires no maintenance from your team. With that in mind, we’ve designed Rainforest as an intuitive, no-code platform that anyone can quickly use with no training. This has been an important — but insufficient! — step.

Digital transformation is a driving force behind new models and approaches today. Enterprises need to adapt quickly and creatively to reap the benefits of the digital economy. One key aspect of this transformation involves cloud-based SAP testing, essential in building a reliable SAP production and release environment. This insightful blog explores the strengths and capabilities of Cigniti, SAP, and Tricentis, which are vital to ensuring successful large-scale SAP transformations.

GPU as a Service (GPUaaS) serves as a cost-effective solution for organizations who need more GPUs for their ML and gen AI operations. By optimizing the use of existing resources, GPUaaS allows organizations to build and deploy their applications, without waiting for new hardware. In this blog post, we explain how GPUaaS as a service works, how it can close the GPU shortage gap, when to use GPUaaS and how it fits with gen AI.

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.

Selecting the right API manager is critical for effective API lifecycle management. These tools, known as API managers, not only streamline the entire process from design to deployment but also bolster security and performance. This guide cuts through the noise to help you understand the essentials of API management and introduces you to the top tools excelling in the field in 2024, to equip you with the knowledge to choose the optimal solution for your business.

Exploratory testing marks the connection where creativity meets discovery. This method isn’t just about ticking off a list; it's about venturing into the unknown, armed with curiosity and a keen eye for detail. It's a journey that's best embarked upon as a team, where each member's unique perspective and expertise illuminate different facets of the software, uncovering insights that might otherwise remain hidden.

Testing is not just writing test scripts and executing them. While not usually considered as an official step in the software testing life cycle, test case management is a crucial activity whose presence can be found in almost any stage of the testing process. The simple act of choosing which test case to execute is already test case management. Done right, test case management can make a real difference.

Compliance management is crucial across a wide variety of industries, from automotive software to medical devices. These regulations protect customers and enhance safety, but they can also introduce challenges and stress for development teams. When working in regulated industries that create sophisticated, complex products, compliance management becomes more intricate.