Unstructured data is unfiltered information to which a fixed editing policy is not applied. It is often referred to as raw data. Common examples are internet logs, XML, JSON, text documents, images, videos and audio files. Unstructured data is searched and analyzed to extract useful facts. Up to 80% of enterprise data is unstructured. This means that it is the type of big data that is most visible to many people. The size of unstructured data requires scalable analytics to generate insights. Unstructured data is present in most, but not all, data lakes due to low storage costs.
Artificial intelligence has become one of the most important elements of technological progress in recent years. Large technology companies in particular are trying to have a say in the market by developing large language models (LLM).
Luma AI is an AI-powered image processing and 3D modeling platform that allows you to automatically create high-quality 3D models from photos. Using “Neural Radiance Fields” (NerF) technology, Luma AI is capable of creating realistic 3D scenes and objects from 2D images.
Synthetic data generation is the process of generating datasets that mimic the statistical properties and patterns of real data, but are completely artificially created.
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