Technical Glossary

Technical Glossary

Discover detailed definitions and FAQs for key technical terms in the synthetic data community. Dive into the latest insights from our subject matter experts and enhance your learning journey. Explore our expanding list of technical terms below.

What is AI and Data Privacy?

AI and data privacy are closely intertwined, as the use of artificial intelligence requires the collection of information. Data privacy refers to the protection of this information. Learn more.

What is Data Acquisition?

Data acquisition is the process of obtaining real-world data that serves as the foundation for creating synthetic datasets.

What is Data Anonymization?

Before discussing the data anonymization process, let’s first answer: What is anonymized data?

What is Data Augmentation?

Data augmentation is a technique used in machine learning and data science to artificially...

What is Data Simulation?

Data simulation is the process of using large quantities of data to predict events and validate models. Get the full data simulation definition.

What is Differential Privacy?

Learn the definition of differential privacy and get answers to FAQs including: How does differential privacy work?, and more.

What is Retrieval Augmented Generation (RAG)?

Learn what is retrieval augmented generation (RAG) and get answers to FAQs regarding: What are the best practices in retrieval augmented generation, and more.

What is Synthetic Data Generation?

Synthetic data generation refers to the process of creating artificial data that mimics the statistical characteristics and structure of real-world data.

What is Synthetic Data?

We define synthetic data as artificially annotated information that is commonly used as an alternative to real-world data...

What is Tabular Data?

Tabular data refers to data that is organized into a table, where information is arranged in rows and columns.