Snowflake eliminates the challenges faced by customers with multiple component technologies by enabling them to easily integrate and use a wide range of AI-specific technologies on a single, secure platform.

At a press conference held at the Grand InterContinental Seoul Parnas on the 8th, Snowflake highlighted how its platform is revolutionizing how businesses utilize data in an easy, accurate, and secure way.

This press conference was held to explain what will be covered ahead of the 'Snowflake World Tour Seoul' on September 9th.

Approximately 3,000 industry experts are expected to attend the event, where leading domestic companies such as Amorepacific, Mirae Asset Global Investments, and Samsung Electronics are expected to share real-world examples and demonstrate Snowflake's technological prowess.

At the press conference, Snowflake Korea CEO Choi Ki-young announced that Snowflake is focusing on simplifying complex data processing processes.

In particular, integration with AI technology allows users to connect and analyze various data sources without separate, complex coding. He said he would support it.

For example, documents stored in Google Drive or Microsoft Teams can be automatically linked to the Snowflake platform and used for analysis.

This approach allows for easy data retrieval and processing without the need for traditional ETL (Extract, Transform, Load) processes or complex SQL-based setups.

In particular, the Open Flow feature utilizes open source technology based on NiFi to organically connect various data sources and lowers the threshold for implementation with a user-friendly interface.

Accuracy is one of the values Snowflake emphasizes most. Because simple assumptions or uncertain analysis are unacceptable in an enterprise environment, Snowflake maintains a high level of trust throughout the entire data process, from source to analysis.

In particular, the Cortex AI function boasts an accuracy of over 90% and has achieved excellent results in dozens of PoC (proof of concept) projects in Korea.

Snowflake provides an end-to-end process from data inception through target setting, source connection, inference, and execution using AI agents.

This allows businesses to move beyond simple data repositories and gain real-time insights for strategic decision-making.

Snowflake designed its platform around three core pillars: Easy, Connected, and Trust.

It provides powerful features, especially in terms of security and governance, allowing companies to use it with confidence even when handling sensitive data.

All data is managed within a consistent platform, and various component technologies are integrated and delivered in a single server environment.

This is a major advantage in that it enables stable operation without confusion, unlike other platforms that use multiple AI agents.

Additionally, external data registered in the marketplace can be easily linked through natural language commands, satisfying both security and convenience.

Snowflake is evolving beyond a simple cloud data warehouse into a platform that encompasses the entire data ecosystem.

It has various functions such as dynamic table function that combines OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing), Open Table Format based on Apache Iceberg, etc. It enables the use of real-time data.

These technological advancements are contributing to the creation of new AI-based business models across various industries, including manufacturing, finance, and e-commerce, and Snowflake is at the center of this transformation, driving corporate innovation.

“Snowflake is not just a technology provider, but a strategic partner that helps companies realize their potential through data and AI,” said CEO Choi Ki-young. “With our easy-to-use, accurate, and secure platform, companies can move toward a data-driven future without complex technical barriers.”