"We will go beyond simply answering questions to autonomously carrying out tasks, supporting corporations' decision-making and execution at the same time. To that end, we have released the enterprise artificial intelligence (AI) assistant 'Project SnowWork,' which automates corporations' complex tasks."
Kristian Kleinemann, senior vice president of product at Snowflake, stated accordingly while introducing 'Project SnowWork,' released as a research preview, at the 'Data for Breakfast' press briefing held at the Seoul Ambassador Pullman Hotel on the 19th. Vice President Kleinemann said, "We will enable business users to directly leverage Snowflake's enterprise data platform and AI capabilities in the desktop environment to accelerate the shift to an 'agentic enterprise.'"
The agentic enterprise that Snowflake proposed is a concept in which AI moves beyond merely answering questions to leading actual decision-making and execution. To achieve this, corporations must have a governance foundation that combines intelligence, applications, enterprise data and business context, and be able to continuously orchestrate large-scale execution. The company said Project SnowWork implements this transition as a results-focused, simple desktop experience.
Vice President Kleinemann said, "Project SnowWork is different in nature from a simple productivity agent. It plans complex tasks into multi-step workflows and executes them autonomously," and added, "It is designed to carry out tasks to the end where analysis and deliverable creation are both required."
Snowflake is also expanding partnerships. In Dec. last year, it signed a strategic partnership worth about $200 million (about 299.8 billion won) with Anthropic, enabling the use of Anthropic Claude models in Snowflake. In Feb. this year, through a $200 million strategic partnership with OpenAI, the latest OpenAI models were integrated into Snowflake's fully managed AI service, Snowflake Cortex AI.
Snowflake is also working with SAP to support semantic data integration, and with Palantir to simplify data pipelines and optimize AI workloads. In addition, it counts Amazon Web Services (AWS), Microsoft Azure, Nvidia (NVDA), Salesforce, Inc., Ernst & Young, Slalom, and Deloitte Touche Tohmatsu Limited (DTTL) among its key partners. Vice President Kleinemann said, "Snowflake Intelligence products are based on collaboration models with partners," adding, "Some products have competitive relationships with companies like AWS and Anthropic, but through partnership agreements we are seeing effects such as productivity gains, expense reductions, and faster project execution."
The company also emphasized platform scalability and domestic growth. Vice President Kleinemann said, "Snowflake has secured more than 13,000 customers worldwide, and about 40% of Forbes Global 2000 corporations use it," adding, "More than 7,300 organizations use Snowflake's AI tools every week, and in Korea, we have secured about 80% of the top 10 conglomerate groups as customers." According to Snowflake, since the establishment of the Korea office in 2021, domestic platform usage has increased more than ninefold over the past four years.
Lotte On was presented as a representative domestic case. Choi Ki-young, head of Snowflake Korea, said, "Lotte On resolved data duplication and silo issues by building an AI data platform, and reduced operating expense by 32% and improved overall performance by 40% through advanced customer segmentation and real-time product recommendations."