Artificial intelligence has played a major role in how software testing has changed over the past couple of years. It has influenced the changes in designing, execution, and maintenance of test cases. In the last two years, Large Language Models (LLMs) have become the core of attention for QA teams looking to speed up test ...

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Enterprise Resource Planning (ERP) systems are the operational backbone of organizations. They integrate critical business functions such as finance, procurement, supply chain management, manufacturing, human resources, and customer service. Digital transformation and integration of artificial intelligence (AI) into ERP platforms has given rise to the emergence of Agentic AI, autonomous systems capable of reasoning, planning, ...

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Artificial intelligence (AI) has become ubiquitous across industries. AI-powered applications are used for almost all tasks in the digital field. In the software field, a new category of solutions has emerged to support their validation and quality control: AI testing tools. At present, there are countless AI testing tools available in the market, making all ...

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Software testing is always treated with caution by engineering teams. The majority agree that testing is important, yet almost everyone has experienced the annoyance of having to maintain test suites at scale. As software systems become more complex and organizations release updates faster, the older methods of QA don’t keep up. Teams spend weeks creating ...

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Artificial intelligence (AI) systems are becoming remarkably capable. Large Language Models (LLMs) nowadays can generate code, summarize documents, answer complex questions, and power customer-facing applications across industries. With almost every organization racing to deploy AI-powered models, safety has become a primary concern. Many teams deploy model guardrails. But are these enough? If not, how should ...

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The last couple of years have completely overturned the way organizations think about AI compliance. It usually used to be about voluntary standards and best practices that transformed into actual binding laws. And this switch happened fast. Over 1080 AI-based laws were introduced by 50 states across the U.S. Around 118 (or 11%) of them ...

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This is the age of Large Language Models (LLMs) such as GPT-4, GPT-5, Claude, and Gemini. These and other AI assistants have transformed the way organizations build conversational applications, ranging from customer support chatbots and coding assistants to enterprise automation tools and AI agents. The way these systems behave is heavily influenced by prompts, with ...

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AI in software testing has been marketed as the next big thing in test automation for the past few years. It is considered to be the most significant table turner in QA engineering. Dependent on whom you ask, AI can apparently build entire test suites, maintain flaky automation, put manual QA testers out of work, ...

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“The AI is never wrong—until it confidently tells you Abraham Lincoln invented Wi-Fi.” Welcome to the weird and wonderful world of AI hallucinations. If you’ve ever queried ChatGPT and received a response that reads as perfectly reasonable yet is completely wrong, well, congratulations, you’ve just witnessed an AI hallucination in the wild. Those moments can ...

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“The key to artificial intelligence has always been the representation” — Jeff Hawkins. When we talk about AI these days, it’s often about how much smarter it’s getting, writing essays, recognizing faces, chatting like a human, and even driving cars. But there’s something deeper that most of the time is ignored: AI context. You know, ...

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