Meaning of Synthetic Data

Simple definition

Synthetic data is artificially generated data that mimics real-world data but is created through algorithms, rather than collected from actual events or observations.

How to use Synthetic Data in a professional context

It’s used in training machine learning models, especially when real data is scarce, expensive, or sensitive.

Concrete example of Synthetic Data

Synthetic medical data is generated to train a machine learning model for disease prediction without using real patient information.

How is synthetic data generated?

Through simulation, statistical modeling, or generative models like GANs.

Can synthetic data replace real-world data?

It can supplement real data, but may not fully capture the complexity of real-world scenarios.

What are the benefits of using synthetic data?

It helps protect privacy, reduces data scarcity, and lowers the cost of data collection.
Related Blog articles
AI Is Only as Smart as the Person Using It 🧠🤖

AI Is Only as Smart as the Person Using It 🧠🤖

AI promises extraordinary efficiency, but relying on it without the right knowledge can lead to...

AI at work: what Québec’s new government guide says

AI at work: what Québec’s new government guide says

What principles should guide AI in the workplace? Québec’s Ministère du Travail outlines five principles...

NEW! Learn AI with Le Wagon’s AI Product Builder short course

NEW! Learn AI with Le Wagon’s AI Product Builder short course

For the first time in Tokyo, Le Wagon is introducing its AI Product Builder short...

    Suscribe to our newsletter

    Receive a monthly newsletter with personalized tech tips.