Even Better than the Real Thing?

Synthetic Data is an Important Tool Driving AI Adoption

To successfully use AI, companies need data to train models.

Why it matters: AI requires data. Lots of data. But the data needed isn’t often readily available. When real-world data isn’t available, or too costly — enter synthetic data.

The bottom line. Gartner predicts synthetic data will outpace real-world data in AI models by 2030, and companies will be unable to build high-value AI models without it. With growing demand, more and more companies are now offering synthetic models.

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