synthetic-data

Vocabulary Word

Definition

'Synthetic data' is made-up data that is designed to mimic and represent actual data. Often, it's used for tasks like testing software or models without using real data.

Examples in Different Contexts

In AI training, 'synthetic-data' is artificially generated data used to train models without the need for real-world data. An AI researcher might state, 'Using synthetic-data allows us to scale our training datasets significantly, improving the model's performance without compromising privacy.'

Practice Scenarios

Business

Scenario:

Our new trading model needs to be thoroughly tested. We've generated some synthetic data that matches market conditions.

Response:

That's a good idea. Using synthetic data will give us a realistic understanding of how the trading algorithm is performing.

Scenario:

We need to train our machine-learning model. Creating synthetic data can be a good way to ensure we don't violate any privacy policies.

Response:

Right, synthetic data will be helpful for unbiased training without compromising the privacy of real users.