“Snowflake’s data cloud can combine structured and unstructured data using AI to produce more precise analysis results. This is gaining a great response from companies that place a high value on accuracy.”

Snowflake held a press conference at the Four Seasons Hotel on the 25th to introduce Snowflake's business.

The event was attended by Snowflake co-founders Benoit Dageville, President of Products, and Thierry Cruanes, former Chief Technology Officer, along with Korea Country Manager Choi Ki-young, who participated in a Q&A session.

The founders said that during this visit to Korea, they shared Snowflake’s technical vision and global success stories and discussed cooperation with major Korean companies, adding that Korea is a center of technological development and a very interesting market.

When Snowflake was founded, the main challenge they were trying to solve was that in 2012, the founders of Snowflake wanted to overcome the limitations of big data and cloud technology. “At the time, data platforms were slow and inefficient, and cloud technology had the potential to revolutionize this,” said Benoit Dajouville, CEO. “We have developed a platform that can integrate structured and unstructured data by leveraging the elasticity and scalability of the cloud,” he said.

Regarding the innovation that Snowflake brought to the data analytics market, Snowflake responded that it has greatly improved the efficiency of data analytics through cloud-based computing resource allocation and return functions, and has simplified complex data analytics by integrating AI technology, enabling all organizations to realize data democratization.

In terms of plans to keep pace with the development of AI, Snowflake said it plans to provide customers with more innovative solutions by combining AI and data. The pace of AI development is very fast, and it will continue to explore ways to create new value through its data platform.


Before the Q&A, CEO Choi Ki-young introduced Snowflake’s business and mentioned that Snowflake helps companies effectively utilize their data assets through cloud-centric data management.

In particular, he expressed confidence that by introducing technology that enables the use of various data sources in the form of open tables, interoperability between data has been increased, and that this will enable companies to effectively combine not only existing structured data but also unstructured data to derive new business insights.

CEO Choi Ki-young said that the advancement of AI technology has also brought about innovation in the way data is consumed, and that by utilizing natural language processing (NLP) technology, accessibility in the data analysis process has been increased, and through this, more companies are able to overcome the barriers to data utilization. He revealed that there was.

Tasks that previously required specialized knowledge such as SQL are now possible with natural language interfaces, and AI-based data consumption is expanding further.

These developments go beyond mere technical convenience and lead to the creation of business value for companies.

CEO Choi Ki-young said that Snowflake’s data cloud integrates structured and unstructured data based on a flexible and scalable architecture, and provides a platform for companies to effectively utilize AI.

He continued by saying that by combining structured and unstructured data through AI, more precise analysis results can be derived, and this is particularly well-received by companies that value accuracy.

CEO Choi Ki-young said, “Snowflake supports multi-cloud and efficiently manages data storage and computing resources, while providing diverse content through an innovative data marketplace.” He added, “These efforts are expanding the possibilities of data utilization in the AI era and helping companies secure competitiveness through data-based decision-making.”