Snowflake Presents Data Platform Roadmap for Agentic AI Era
Published2026.08.28 15:17
Executive Roundtable Seoul Held, Enterprise AI Expansion Strategy Shared
Snowflake, a global AI data cloud company, held an event to share enterprise AI utilization strategies and data platform construction methods with key executives from domestic companies.
Snowflake announced that on the 27th, it held the 'Executive Roundtable Seoul' at COEX Seoul and discussed companies' AI adoption and expansion strategies.
The event, held under the theme 'From AI Ambition to Enterprise Impact,' was attended by executives from various industries including finance and retail. Participants shared methods for applying generative AI to corporate operations and business processes, as well as operational strategies for expanding AI utilization.
Bala Kasiviswanathan, Vice President of AI and Developer Experience at Snowflake, who delivered the keynote address, introduced data platform strategies and technology roadmaps for the agentic AI era.
He explained that for companies to connect AI to tangible business outcomes, it is important to consolidate dispersed data and establish a consistent data governance framework.
Additionally, by introducing AI adoption cases from global companies, he presented a direction for developing AI as an embedded system throughout corporate operations rather than merely a technical tool.
The event also showcased cases of domestic companies that have built AI environments using the Snowflake platform.
Kim Jae-wan, CIO of CJ Foodville, presented his experience of connecting data generated from various food service brands through an integrated platform and utilizing it for AI service development.
CJ Foodville explained that it is expanding the scope of AI utilization across various areas including customer experience improvement, operational automation, and work productivity enhancement based on a data integration foundation.
Through this event, Snowflake stated that it became a venue for domestic companies to establish AI strategies suited to their respective data environments and share methods to connect them to business outcomes.
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