Remova Logo
AI Glossary

Synthetic Data

Artificially generated data that mimics real-world data characteristics without containing actual sensitive information.

TL;DR

  • —Artificially generated data that mimics real-world data characteristics without containing actual sensitive information.
  • —Understanding Synthetic Data is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

Synthetic data is created algorithmically to have the same statistical properties as real data without containing actual personal or sensitive information. It's used for AI training, testing, and development when real data is too sensitive, scarce, or expensive to use.

Related Terms

Training Data

The dataset used to train an AI model, which significantly influences its capabilities and biases.

PII Redaction

The automatic detection and removal of personally identifiable information from text before it reaches AI models.

AI Ethics

The principles and guidelines governing the responsible development and use of AI systems.

Foundation Model

A large AI model trained on broad data that can be adapted to many downstream tasks.

Knowledge Hub

Glossary FAQs

Synthetic Data is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage artificially generated data that mimics real-world data characteristics without containing actual sensitive information.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize Synthetic Data through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Training Data and PII Redaction.

BEST AI FOR COMPANIES

Experience enterprise AI governance firsthand with Remova. The trusted platform for AI for companies.

Sign Up