Written by 
Gartner estimates that by 2030, the use of synthetic data will completely surpass the use of real data in training artificial intelligence models. But what does this mean exactly?
Synthetic data is artificially generated data designed to mimic real-world data. It is created using algorithms and statistical models that replicate the patterns, characteristics, and relationships found in real-world data.
Imagine: until now, algorithms have been primarily fueled by data produced by humans. But soon, they will be trained by other algorithms and Synthetic Data.
In this article, we go beyond the obvious to raise questions to foster critical and creative thinking — I believe this is the best way to create desirable futures.
In this text, we will discuss:
- Why Synthetic Data?
- It’s expected to be a big market
- It’s already happening
- What does it means to designers?
Shall we?