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.
Explainable Artificial Intelligence (XAI) is a field of artificial intelligence that focuses on the ability of artificial intelligence systems, and especially machine learning models, to explain decisions and behaviors in a way that is understandable to humans.
The logical analysis platform is a feature-rich technology solution designed to meet the needs of large enterprises.
Autoregressive models are a powerful method used especially in artificial intelligence and time series analysis. These models are developed to predict future values using historical data.
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