Snowflake, a global AI data cloud company, successfully concluded its ‘Industry Insight Day’ for domestic financial customers and shared financial institutions’ data management and AI-based business growth strategies.

Snowflake announced that it successfully held the ‘Snowflake Industry Insight Day’ at the Fairmont Ambassador Seoul Hotel in Yeouido on the 6th.

This event was attended by various financial customers, including asset management companies, securities firms, and card companies, and was a place to share data management efficiency and AI-based business growth strategies using the Snowflake platform.

“Snowflake passed the financial sector’s cloud service provider stability assessment last year,” said Kiyoung Choi, CEO of Snowflake Korea, in his welcoming speech. “The Snowflake platform allows customers to directly manage their data while maintaining security and governance.”

He also introduced cases where financial companies around the world adopted Snowflake to improve efficiency, and said he hopes such success stories will expand further in Korea.

Snowflake’s Linesh Patel, Global Head of Financial Services, is responsible for leading international financial clients including JP Morgan, S&P Global, and Fidelity. Explaining the case of introducing AI data cloud, he said, “Snowflake supports users to use AI functions in the desired way according to their needs.”

In particular, it was emphasized that it simplifies data utilization and application development by providing an environment that can be easily, safely, and quickly executed through a single data cloud platform.

Mirae Asset Global Investments’ AI Solutions Division Director Yongmin Choi introduced a case of switching to a Snowflake-based data architecture to resolve the complexity and inefficiency that arises in the process of managing and processing data for AI investment models.

He said, “Since the introduction of the Snowflake platform, we have achieved groundbreaking performance improvements and cost savings, such as reducing computing work time from 15 hours to minutes and shortening batch work by more than 300 times compared to before.”

Bloomberg’s Hong Young-eun, enterprise data sales manager, shared how combining Bloomberg’s data management solution, Data License Plus (DL+), with the Snowflake data platform improved data management and analysis efficiency.

He explained, “We can easily and quickly store, analyze, and share the massive financial data provided by Bloomberg through Snowflake, and effectively perform data automation, centralization, and migration to improve investment decision-making and risk management and maximize operational efficiency.”