Snowflake, a global data cloud company, presented a vision to accelerate corporate work productivity and AI utilization in earnest through 'Project Snowwalk,' an autonomous AI platform that reflects the context of specific job functions, while suggesting a new direction for enterprise AI applications.

Snowflake held a press conference regarding 'DATA FOR BREAKFAST' at the Ambassador Seoul Pullman Hotel on the 19th and unveiled its enterprise AI strategy and key technology updates.

In particular, 'Project SnowWork,' an autonomous enterprise AI platform designed to dramatically increase the work productivity of business users, was first unveiled in the form of a research preview.

The event began with opening remarks by Choi Ki-young, General Manager of Snowflake Korea.

Branch Manager Choi emphasized, “2026 will be the year AI agents spread widely across corporate sites,” adding, “We are now in an era where business results are generated by rapidly adopting small micro-agents, rather than large-scale projects.”

He cited data readiness, a clear business strategy, and a company-wide collaboration system as key conditions for utilizing AI, stating, “For enterprise AI, direction and execution are more important than technology.”


Christian Kleinermann, Senior Vice President of Product at Snowflake, took the stage and stated, “The value of AI has already become a reality and is leading to corporate performance even at this very moment.”

He emphasized, “The approach of viewing AI solely as a long-term project is no longer valid,” adding, “We must create AI success stories every week and every month through small use cases.”

It was introduced that global companies such as AstraZeneca, Nissan, and Fenetics are actually achieving tangible results with Snowflake-based AI.

Senior Vice President Kleinerman presented enterprise data foundation, clear business logic, and the internalization of AI in all workloads as three elements of AI success.

The platform that implements this is the 'AI Data Cloud,' which supports the entire lifecycle from data generation to analysis, utilization, and archiving.

Snowflake currently has over 13,000 customers worldwide, with more than 9,000 of them utilizing AI capabilities every week.

A demonstration of the Snowflake solution was also held at the event.
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Lee Su-hyeon, a Snowflake Tech Evangelist, is demonstrating the solution.