Unstructured Data
What is Unstructured Data?
Unstructured data lacks predefined organization or format. In AI automation, processing unstructured data requires more sophisticated approaches than structured data.
The ability to handle unstructured data enables automation of more complex tasks involving free-form text, images, or other unformatted content.
Why is Unstructured Data important?
Most real-world data is unstructured. For businesses using Lleverage, the ability to process unstructured data opens up more automation possibilities. This capability is crucial for handling real-world information that doesn't fit into neat, predefined formats.
Check out other terms related to Unstructured Data
How you can use Unstructured Data with Lleverage
A media monitoring company uses Lleverage to analyze news articles. Their workflow processes unstructured text from various sources, extracting relevant information and organizing it into structured formats for analysis and reporting.
Unstructured Data FAQs
Everything you want to know about
Unstructured Data
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Use appropriate AI techniques like natural language processing for text or computer vision for images, combined with data extraction and structuring tools.
Processing unstructured data can be more complex and resource-intensive, requiring more sophisticated AI capabilities.
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