Software Testing Updates

  The strategic incorporation of AI in financial services : The financial services domain can be modernized by the Artificial Intelligence (AI) platform as the manual banking processes can be streamlined and deeper insights can be unlocked from generated data. This in turn helps in knowing how and where investments are made. AI also helps in improvising customer experience through cybersecurity and fraud protection, including real-time credit approvals and developing faster, contactless interactions.   The constructive impact of AI in financial services: Risk management activities can be fully leveraged by financial corporations through the tactful use of AI. This includes anti-money laundering (AML), fraud, regulatory compliance, security and Know-Your-Customer (KYC) guidelines. Insurance companies, investment firms and banks can utilize AI platforms to perform real-time calculations in order to maintain compliance, detect anomalous spending behavior and forecast perf...

  Automated QA testing - An Introduction: Software testing is a crucial aspect of the software development process. It ensures that software products or applications maintain high reliability, meet user expectations and function appropriately. Without proper software testing, the software may be affected by security vulnerabilities, can be riddled with errors and bugs and also may lead to an ineffective brand reputation. To further scale the efficiency of software testing, the platform of test automation is used. Automated QA testing can not only streamline QA processes but also, elevate and simplify the process of software testing, thereby making it more efficient. According to research, the market for automated QA testing is going to reach approximately $55.2 billion by 2028.   Strategic difference between Manual QA testing and automated QA testing: Manual QA testing: Manual testers are involved, wherein test cases are executed manually for the purpose of identif...

The platform of Artificial Intelligence (AI) is making steady waves in the IT world. The rise of generative AI is further accelerating the AI platform with its ability to create and innovate to the next level. In order to leverage and capitalize on the generative AI platform, the team should know the differences between traditional AI and generative AI.  In this article, you will get to know the strategic importance of Generative AI. Generative AI - An introduction: The AI platform is further scaled by Generative AI, wherein new outputs are created from its training data. Instead of just recognizing these patterns, these patterns are learned by generative AI and are used to generate music, images, text and code. For example, platforms like Claude, Gemini and ChatGPT can be easily and effectively used in human-like conversations. This creative value of Generative AI is what makes it unique, opening up possibilities for innovation across different fields such as scientific disc...