BigID, the category-leading data security and compliance vendor for the cloud and hybrid cloud, announced a pioneering patent for a technology that dramatically enhances the process of data cleansing, curation, and cataloging for AI – receiving the first of its kind patent to automatically identify similar, duplicate, and redundant data based on dynamic document clustering and keyword extraction.

Enterprises today are buried in volumes of data, much of which are repetitive or irrelevant, complicating analysis and skewing AI results. Due to the enormous size and complexity of typical enterprise file shares, organizations often struggle to know what data they have, and accumulate massive amounts of similar, duplicate, and redundant data that can cause problems in analysis, distort results, and cause data distortion and inaccurate results when using AI.

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BigID automatically pinpoints similar, duplicate, and redundant data: not only streamlining data management and improving security but also paving the way for more precise and secure AI use by:

• Automatically finding, curating, and cataloging similar datasets
• Improving data hygiene for more accurate data analytics and AI implementation.
• Simplifying the curation of similar and duplicate data for AI training.
• Accelerating data profiling and improving data quality for more accurate and more secure AI use cases, resulting in more accurate AI outcomes.
• Tackling redundant, obsolete, and trivial data automatically.
• Reducing the attack surface and minimizing data storage costs.
• Aiding compliance and accelerating cloud migrations with cleaner data.

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