In business, speed is key. When facing rapid change, adapting slowly eats into an organization’s revenue, opportunities, and market share. This has led organizations to deploy business process automation technologies to streamline processes, roll out products faster, and deliver services of a higher quality. However, organizations often stitch together disparate automation tools, leading to disjointed IT ecosystems and bloated licensing costs.

Developing, distributing, and monitoring a drug or medical device is an extensive process. It involves the coordination of people, systems, and substantial amounts of data. Production slowdowns negatively impact the product lifecycle, adding unnecessary costs and keeping valuable products from the patients who need them. The need for automation is evident.

Quality Assurance or QA automation has become a game-changer in the software development process. Since it involves the use of automated tools and frameworks to execute tests on a software application before it is released into production, it ensures that the software meets the specified requirements and works as expected across different platforms and environments.

Manual testing is no longer adequate in the fast-paced world of modern software development to guarantee the dependability and quality of online and mobile applications. With its ability to speed up test execution, enhance test coverage, and facilitate early problem discovery, automation testing services have become an essential technique to succeed.

In the ever-evolving landscape of software testing, the transition from manual to automated testing is a journey filled with misconceptions, challenges, and significant rewards. Recently, I had the privilege of hosting a conversation with two industry experts, David DiCocco and Alex Martins, who shared their personal experiences and insights on this topic.

Automation has unleashed unprecedented productivity and profits for organizations. By automating formerly manual tasks, businesses see efficiency gains, reduced human error, cost savings, and improved innovation. Automation frees employees for creative work and work that requires human intervention. To facilitate this, many organizations have stitched together a wide range of automation tools. This includes robotic process automation (RPA), generative AI, predictive AI, and business process management.

The latest version of Linx is out.

Test automation is no longer a cutting-edge technology. It is now a standard for any QA team looking to bring product quality to the next level. However, some testers are hesitant. They pose questions: does test automation actually bring ROI? Or perhaps they’re wary of the struggle with maintaining automation test scripts that break every time a new update is rolled out. It is those questions that deter business leaders from making the final decision, but they have a reason to be wary.

At the heart of BPA is automation, which drives efficiency and reduces manual effort. Key elements to look for include: Effective data management is crucial for informed decision-making and operational efficiency. The right platform will offer a strong data fabric architecture to make this possible. A data fabric combines data management, integration, automation, and low-code development tools to build impactful and data-rich digital solutions.