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Transform sensitive text into AI-ready data on Microsoft Fabric

Tonic Textual for Microsoft Fabric enables fast, automated de-identification of sensitive unstructured text, helping teams create AI-ready datasets securely inside OneLake.

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Achieving test data management totality: the difference between total coverage and "close enough"

Test data management
Test data management
Data de-identification
Tonic.ai editorial
Tonic Structural

Tonic.ai product updates: April 2024

Product updates
Product updates
Tonic Structural
Tonic Textual
Tonic Validate

How to de-identify legal documents with Tonic Textual

Data privacy
Data privacy
Tonic Textual

Top 5 risks of not redacting sensitive business information when machine learning

Data privacy
Data privacy
Tonic Textual

Tonic.ai product updates: March 2024

Product updates
Product updates
Tonic Structural
Tonic Textual
Tonic Validate

De-identifying Salesforce data for testing and development. Tonic Structural now connects to Salesforce

Product updates
Product updates
Tonic Structural

De-identifying test data: K2View’s entity modeling vs Tonic’s native modeling

Test data management
Test data management
Data de-identification
Technical deep dive
Tonic Structural

Tonic Validate is now on GitHub Marketplace! (Part 2)

Product updates
Product updates
Generative AI
Tonic Validate

Tonic Validate is now available on GitHub Marketplace!

Product updates
Product updates
Generative AI
Tonic Validate

Tonic.ai product updates: February 2024

Product updates
Product updates
Tonic Structural
Tonic Textual
Tonic Validate

RAG evaluation series: validating the RAG performance of OpenAI vs CustomGPT.ai

Technical deep dive
Technical deep dive
Tonic Validate

Redacting sensitive text data in JSON with Tonic Textual

Data de-identification
Data de-identification
Data privacy
Generative AI
Tonic Textual

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Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.