The Amazing Ways Snowflake Uses Generative AI For Synthetic Data And Natural Language Queries

Discover how cloud data giant Snowflake is revolutionizing the use of synthetic data created through generative AI to overcome the challenges of realworld data collection

First, What Is Synthetic Data?

It’s used in finance to train fraud detection algorithms to spot deliberately falsified transactions, in healthcare to avoid using sensitive patient data, and in retail and marketing to create, business leaders are most likely to turn to synthetic data because of difficulties with accessibility, complexity and availability of real-world data.

Using synthetic data in this way can help to tackle those problems as datasets can be created in line with whatever level of representation or inclusiveness is needed.

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