Automation

Software testing plays a critical role in the IT industry, ensuring that applications are reliable, secure, and perform optimally. In recent years, there has been a significant shift from traditional quality assurance (QA) processes to advanced quality engineering practices. This change has spurred

Certainty Software has announced new automation features for its inspection and audit platform, aiming to significantly enhance workplace safety and compliance. The company has introduced an AI-powered Vision tool that leverages photo and video data to identify potential risks. This innovative tool

Diagrid has introduced a public beta for a managed instance of the Dapr framework, significantly enhancing developer productivity by removing boilerplate coding tasks. This launch, known as Diagrid Catalyst, equips developers with a serverless computing environment to simplify application

Generative AI (GenAI) tools are becoming increasingly prevalent in software development, offering a promise of improved productivity and efficiency. However, these tools come with their own set of limitations, risks, and challenges. As organizations and developers start to integrate GenAI into

Manufacturing is undergoing a significant transformation driven by advances in software-defined automation (SDA). Companies are eager to navigate the complexities of modern manufacturing, characterized by skills shortages, supply chain disruptions, and the limitations of legacy systems.

The growing integration of artificial intelligence (AI) in customer experience (CX) and quality assessment (QA) is stirring transformative changes, especially in software testing, with expectations that by 2027, 80% of enterprises will utilize AI-augmented testing tools. This shift underscores