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As artificial intelligence (AI) continues to unlock value from unstructured data, experts are increasingly advocating for structured data approaches. While unstructured data—like documents, images, and social media feeds—holds immense potential, the complexities involved in processing it often make structured data…
In businesses, data serves as a critical guide for decision-making and strategic planning. It is divided into two different categories: structured and unstructured. Grasping the distinction and interaction between these data types is essential for organizations. Structured data is orderly…
Not all data is created equal. There are two main types of data: structured and unstructured. Structured data is organized and searchable, such as dates, phone numbers, and product SKUs. Unstructured data is everything else, such as photos, videos, podcasts,…
The dawn of generative AI has brought unstructured data into the limelight. Unstructured data, which includes text, graphics, documents, and IoT streams, holds untapped value. However, only 46% of organizations have made efforts to extract its value. Generative AI is changing this…
Unstructured data is any data that does not have a predefined format or structure, such as text, images, audio, video, social media posts, emails, and more. According to some estimates, unstructured data accounts for more than 80% of all data generated…