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.
Whether it's invoice processing or compliance management, it's likely that your organization grapples with numerous processes centered around documents. And for many, a relentless increase in document volume without an efficient way to process them has continued to challenge productivity. The manual handling of documents not only consumes time and effort but also introduces errors, which creates more costs.
In the age of rapid innovation, organizations are increasingly adopting low-code business process automation (BPA) to meet demand for speedy custom application delivery and seamless digital workflows. Perhaps that’s why global demand for low-code automation platforms (LCAPs) is expected to grow 25% to a $10 billion market value in 2023. So what does the ascendance of BPA tell us about the evolution of innovation?
Flutter, Google's open-source UI toolkit, has gained immense popularity for building natively compiled applications for mobile, web, desktop, and embedded devices from a single codebase. With its versatility, developers have embraced Flutter for creating dynamic and responsive user interfaces. However, when it comes to test automation, Flutter apps require a unique approach due to their underlying architecture.
Lately, AI and Machine Learning have been the most significant breakthroughs in the software testing space, and they will remain a hot topic for the foreseeable future.
