Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data ...

Inconsistencies in Data Quality: Unstructured data can vary in quality, with noise, irrelevant information, or inconsistencies that can affect the accuracy of AI models and analyses.

Benefits of Structured Data: Easier to Process: The organized format of structured data makes it easier for machines to process and analyze, which results in faster insights. Improved Data Quality: ...

Data Loss During Conversion: When converting unstructured or semi-structured data into structured formats, valuable context or details may be lost.

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready ...

CISOs often focus on protecting structured data such as credit cards, passwords and personal health information. But a new report from IBM reminds infosec pros that unstructured data — ranging ...

Social media is unstructured data – we know that – and we’re used to seeing all of these stories about ourselves floating around on Facebook or Twitter.

Making the most of unstructured business data with generative AI still requires some strategic consideration. Four Considerations When Turning Unstructured Data Into AI-Generated Business Insights 1.

Today at AWS re:invent 2024 the company announced a series of new services and updates designed to help make it easier for enterprises to get both structured and unstructured data into RAG pipelines.

This type of data is typically numeric or categorical and adheres to a strict schema, making it predictable and easier to manage compared to unstructured or semi-structured data. Commonly used in ...