[Report] Snowflake Summit 26: Ushering in the 'Agentic Enterprise' Era where AI Agents Operate Autonomously and Collaborate with Humans

At 'Snowflake Summit 26' held from June 1–4, 2026, Snowflake announced its evolution into an 'Agentic Enterprise Platform.' The company introduced the 'Agentic Control Plane' to govern AI agents, outlining a vision for business transformation through the secure integration of enterprise data and AI.
イベントNQ 91/100出典:PR Times

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  • 📰 Published: June 9, 2026 at 11:00
  • 🔍 Collected: June 9, 2026 at 11:28 (28 min after Published)
  • 🤖 AI Analyzed: June 9, 2026 at 11:44 (16 min after Collected)
June 9, 2026 (JST): Snowflake (NYSE: SNOW), the AI Data Cloud company, held its annual user conference, 'Snowflake Summit 26,' in San Francisco from June 1 to June 4. This year, the largest event in its history, drew over 20,000 attendees and featured over 500 sessions and 200 partners, unveiling numerous innovations shaping the future of data and AI.

At Snowflake Summit 26, based on the recognition that 'AI is no longer in the experimental stage but in an era where it is operated across the entire enterprise,' Snowflake showcased a vision of evolving from a traditional AI Data Cloud into an 'Agentic Enterprise Platform' for governing and operating enterprise AI agents.

In the opening keynote on the first day, Snowflake CEO Sridhar Ramaswamy emphasized that AI is no longer just a 'promise' but is now producing tangible results. He declared the arrival of the 'Agentic Enterprise' era, where organizations collaborate with autonomously functioning AI agents. He identified four essential elements to realize this vision: ① Enterprise data and context, ② AI models, ③ Applications, and ④ an 'Agentic Control Plane' to integrate them.

Snowflake proposed a new category called the 'Agentic Control Plane,' designed to govern enterprise data, AI models, and business applications comprehensively, rather than providing AI models itself. It is positioned as a 'command center' for operating the growing number of AI agents within an enterprise in a secure and governed manner.

Industry-leading customers and partners joined the keynote. Accenture Chair & CEO Julie Sweet and Chief Strategy and Services Officer Manish Sharma discussed the importance of a robust data foundation to translate AI into actual business outcomes. Additionally, Snowflake announced significant progress in its strategic partnership with Anthropic. Engaging in a discussion on rapid AI model evolution with Daniela Amodei, Anthropic Co-founder and President, they shared the common recognition that 'trust is an accelerator' in balancing innovation and safety.

During the platform keynote on the second day, Snowflake Co-founder and President of Products Benoit Dageville and EVP of Products Christian Kleinerman discussed innovations to accelerate enterprise AI.

Benoit recalled the founding mission of 'eliminating data silos' and the principle of 'all data, all compute, all users.' He warned that building isolated AI stacks in the agentic enterprise era would create new silos and increase costs, emphasizing the importance of running AI and data on a single unified platform.

Christian then spoke of a vision to make complex data technology easily accessible to everyone through AI, quoting Arthur C. Clarke: 'Any sufficiently advanced technology is indistinguishable from magic.' Introducing numerous new features along the themes of 'Ease of use,' 'Trust and governance,' and 'Interoperability,' he pledged that Snowflake would become the foundation for securely executing AI within a strong security perimeter, enhancing productivity across the organization.

A live demo by Principal Developer Advocate Dash Desai was also showcased. Dash demonstrated how the developer-focused agent, 'Snowflake CoCo' (formerly Cortex Code), diagnoses anomalies in data pipelines using only natural language instructions and automatically repairs them securely with user permission. A demo using the personal work agent 'Snowflake CoWork' (formerly Snowflake Intelligence) showed how AI assists with work under strict data movement limitations.

FAQ

Snowflakeが提唱した「エージェンティック エンタープライズ プラットフォーム」とは何か?

従来のAIデータクラウドを進化させ、企業内のAIエージェントを安全かつガバナンスを効かせた形で統制・運用するためのプラットフォームです。

エージェンティック コントロールプレーンの役割は何か?

企業データ、AIモデル、業務アプリケーションを横断的に統制する「司令塔」であり、今後増加するAIエージェントを安全に運用するための新たな基盤カテゴリです。

Snowflake Summit 26で発表された主なパートナーシップは?

Anthropicとの戦略的パートナーシップの大幅な進展が発表されました。

開発者向けAIエージェント「Snowflake CoCo」にはどのような機能があるか?

旧称Cortex Code。自然言語による指示でデータパイプラインの異常を診断し、ユーザーの許可を得て安全に自動修復する機能があります。

SnowflakeのAI戦略における「信頼」の役割は?

SnowflakeとAnthropicの議論において、イノベーションと安全性を両立させる上で「信頼は加速剤」であるという認識が共有されました。