Structured data refers to information that is organized and formatted in a way that makes it easily searchable and analyzable by machines. It typically resides in relational databases or spreadsheets, where data is stored in rows and columns with predefined fields such as names, dates, or numerical values. In artificial intelligence and machine learning, structured data is often used for training models that require clear, labeled inputs. Because it follows consistent patterns, structured data allows for faster processing, easier integration, and more accurate analysis. However, most real-world information is unstructured, making structured data a valuable but limited component of modern AI workflows.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.