AI is being rapidly adopted by virtually all enterprises this year, but most are deploying the same platforms from the same vendors as everyone else.
Creating a customized AI solution based on a company’s unique needs requires data. Unfortunately, the data that companies have at hand might have significant gaps, and could be messy with privacy or compliance issues when it comes to using it. Also, there might just not be enough of it.
Synthetic data can bridge that gap, helping enterprises find real business value from their AI deployments.