The data synthesis guides for software and AI teams

Featured guide

How to develop AI training datasets for compliance and performance

Explore strategies for balancing the compliance and performance of your AI training datasets. Learn how to manage data securely while optimizing accuracy and efficiency.

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Data de-identification
Data synthesis
Test data management
Data privacy in AI
AI model training
Developer productivity
Tonic Structural how-tos
Tonic Textual how-tos
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Data privacy in AI

AI & data privacy: what every organization needs to know

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Tonic Structural
Tonic Textual
Data privacy in AI
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Data de-identification

Use cases for de-identified datasets

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Tonic Structural
Data de-identification
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AI model training

Synthesizing healthcare data for AI model training, with HIPAA Expert Determination

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Tonic Textual
AI model training
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Data privacy in AI

Data privacy vs security: understanding the difference

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Tonic Structural
Tonic Textual
Data privacy in AI
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Test Data Management

Unstructured data management: what it is and how to manage it

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Tonic Textual
Test Data Management
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AI model training

What is a RAG chatbot? Benefits, challenges, and how to build one

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Tonic Textual
AI model training

Make your sensitive data usable for testing and development.

Unblock data access, turbocharge development, and respect data privacy as a human right.
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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.