Why synthetic data may be better than the real thing

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. To deploy successful AI, organizations need data to train models. That said, high-quality data isn't always easy to access – creating a major hurdle for organizations in launching AI initiatives. This is where synthetic data can be so useful. As opposed to data that is collected from and measured in the real world, synthetic data is generated in the digital world by computer simulations, algorithms, simple rules, statistical modeling, simulation, and other techniques.