Snowflake applies generative AI to data to democratize data access and supports customers in better utilizing their data and receiving satisfying feedback.

Snowflake announced on the 9th that it held a press conference at the Park Hyatt Samseong-dong and is hosting the latest flagship product line within Snowflake Cortex AI.

Christian Kleinerman, who gave the presentation, stated that it is important to provide data capabilities to all customers' users, and that it is important to feed AI with data to derive desired results, rather than feeding data into AI to generate results.

It was stated that the reason AI must be connected to actual resources is that customers expect highly accurate results from AI, and since the results derived from AI must be based on actual data, false results must not be produced.

In response, Snowflake stated that the reason for applying data-based AI is based on this content.

Snowflake enables customers to ask and answer natural language questions through Document AI..

In addition, by adopting the Polaris Catalog, you can focus on security and run without dependencies.

In addition, computing functions allow you to safely use Java, Python, Scala, and others within Snowflake.

Here, Snowpark provides container services, offering a wide range of choices through containers that can be used within the same security policy.

In addition, hosting for Rama 3.1 on Snowflake Cortex AI has also begun.

Through this, we develop and open-source an inference system stack that enables real-time, high-throughput inference as well as promotes the universalization of powerful natural language processing and generative applications.

Meanwhile, Choi Ki-young, the head of Snowflake Korea, stated that Snowflake has secured a three-digit number of customers and 80% of the top 10 groups as clients in less than three years since entering the Korean market, adding that it is being used by a diverse range of companies, including mid-sized firms and startups, in addition to large corporations.

Furthermore, they stated that supporting everything in the form of management services, ensuring data governance security, and providing AI required at the enterprise level, along with flexible workload performance, support for various use cases, a simple architecture, and ease of use, led to rapid growth in Korea.

In addition, they mentioned that they will introduce various use cases at the Snowflake World Tour to be held on September 10, stating that they provide tangible business value through enterprise AI, offer cost-effective usage, and provide safe and reliable services.