BigID Launches Industry-First Customizable Named Entity Recognition Models

Introducing the First Customizable ML-Driven Classification for Accurate Data Insight At Scale

BigID, the leading data intelligence platform that enables organizations to know their enterprise data and take action for privacy, security, and governance, announced new advanced ML-driven capabilities, bringing customizable NLP classifiers to customers for faster time to insight, more accurate understanding of data, and data insight that makes sense for today’s modern data challenges.

Customizable NER capabilities reduce costs, time, and resources across data classification and management – improving accuracy, reducing noise, and saving customers’ time and money while accelerating time to insight.

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With these models, organizations can get accurate results at scale, customized for their data challenges with capabilities that include:

  • Fine-tune existing NER classifiers for specific data environments
  • Create additional classifiers for new entity types
  • Extend NER classifier coverage for additional languages.

“This is a huge step forward to make it easier than ever to apply advanced ML to solve data challenges for all organizations,” said Yehoshua Enuka, Head of Data Science at BigID. “Data meaning (and sensitivity) isn’t a one size fits all solution – so customizing models based on the specific data environment gives our customers much faster, more meaningful, and more accurate results than they could achieve with pre-set classifiers.”

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