Snowflake Summit 2025: AI Revolution Takes the Olympic Stage

The Snowflake Summit 2025, held from June 2 to June 5, 2025, at the Moscone Center in San Francisco, was a landmark event that brought together thousands of data professionals, industry leaders, and technology partners to explore the transformative potential of data and artificial intelligence (AI).

With the theme “Building the future of AI and apps,” the summit showcased Snowflake’s latest innovations, high-profile partnerships, and real-world customer success stories, reinforcing its position as a leader in the cloud data platform industry. This report provides a comprehensive overview of the event, detailing its key announcements, sessions, customer stories, and broader implications for the data and AI ecosystem.

Snowflake summit 2025 event — Image via Snowflake

Event Overview

The Snowflake Summit 2025 was a four-day event designed to cater to a diverse audience, including business executives, data engineers, data scientists, software developers, and security practitioners. Held at the Moscone Center, the summit featured over 500 sessions across 15 tracks, hands-on labs, SnowPro certification opportunities, and an expo hall where attendees could network with Snowflake’s 190+ partners and thousands of customers. The event’s agenda was packed with activities, including:

Monday, June 2: Opening keynote, pre-event training, and the Data Drivers Awards.
Tuesday, June 3: Platform keynote, breakout sessions, and a Basecamp Happy Hour.
Wednesday, June 4: Builders keynote, SnowPro certifications, and the Snowbash networking event.
Thursday, June 5: Dev Day with luminary talks, the Startup Challenge Finale, and the [Code Block] Party.

The summit’s theme, “Building the future of AI and apps,” highlighted Snowflake’s focus on integrating generative AI (GenAI), machine learning (ML), and application development within its AI Data Cloud, enabling organizations to unlock data-driven insights and build scalable applications.

Key Announcements

Snowflake announced several significant features and partnerships during the summit, each designed to enhance the capabilities of its AI Data Cloud and address the evolving needs of enterprises.

Snowflake Intelligence

Snowflake Intelligence, accessible at ai.snowflake.com, introduces secure AI agents that operate directly on organizational data, providing insights through a chatbot interface. This feature ensures transparency by including citations for answer verification, making it a powerful tool for data-driven decision-making while maintaining security and trust.

Generation 2 Warehouses

The introduction of Generation 2 Warehouses marks a significant performance upgrade, offering 2.1 times faster analytics through optimized hardware and software. This enhancement enables organizations to process large datasets more efficiently, supporting real-time analytics and complex workloads.

Adaptive Compute

Adaptive Compute is a new service that automatically sizes and shares resources, optimizing cost and performance. By dynamically adjusting compute resources, it helps organizations achieve significant cost savings while maintaining scalability and efficiency.

Snowflake Marketplace Enhancements

The Snowflake Marketplace now supports “Offers,” allowing providers to set custom terms and pricing. With over 3,000 listings from 750 partners, this update enhances the platform’s flexibility, making it easier for organizations to share and monetize data, applications, and models.

Security Enhancements

Snowflake is strengthening its security framework by deprecating password-only sign-ins and enforcing advanced authentication methods, such as passkeys and dark web monitoring. These measures aim to protect sensitive data and ensure compliance in an increasingly complex cybersecurity landscape.

Acquisition of Crunchy Data

Snowflake announced its intended acquisition of Crunchy Data, a leader in PostgreSQL solutions, reinforcing its commitment to the Postgres community. This move is expected to enhance Snowflake’s capabilities in handling structured data workloads, further expanding its enterprise offerings.

Partnership with LA28 Olympics

A standout announcement was Snowflake’s role as the official partner and sponsor of the LA28 Olympic and Paralympic Games. This partnership will leverage Snowflake’s platform to power data-driven operations for the 2028 Games, managing vast amounts of data for event planning, athlete performance, and fan engagement, marking it as the most data-driven Olympics yet.

Announcement	Description	Impact
Snowflake Intelligence	Secure AI agents for data insights via chatbot at ai.snowflake.com	Enhances accessibility and transparency in AI-driven analytics
Generation 2 Warehouses	2.1x faster analytics performance with optimized hardware/software	Improves speed and efficiency for large-scale data processing
Adaptive Compute	Automatic resource sizing and sharing for cost savings	Optimizes cost and performance for dynamic workloads
Snowflake Marketplace Offers	Custom terms and pricing for data sharing	Increases flexibility and collaboration in the data ecosystem
Security Enhancements	Deprecation of password-only sign-ins, introduction of passkeys	Strengthens data security and compliance
Crunchy Data Acquisition	Acquisition to enhance PostgreSQL support	Expands capabilities for structured data management
LA28 Olympics Partnership	Official partner for data-driven 2028 Olympics	Showcases Snowflake’s ability to handle large-scale, real-time data needs

Snowflake Summit 2025 Keynotes and Sessions

The summit featured a robust lineup of keynotes and sessions, providing insights into Snowflake’s strategic direction and practical applications of its technology.

Opening Keynote (K1)

The opening keynote, delivered by Snowflake CEO Sridhar Ramaswamy, featured OpenAI CEO Sam Altman and NYSE Group President Lynn Martin. The session explored the transformative impact of AI across industries, emphasizing Snowflake’s role in accelerating enterprise AI adoption.

Discussions with Lynn Martin highlighted how data and AI are shaping global financial markets, while Sam Altman provided insights into the future of AI, including expectations for Artificial General Intelligence (AGI).

Platform Keynote (K2)

Led by Snowflake Co-Founder Benoit Dageville and Executive VP Christian Kleinerman, the Platform Keynote unveiled new innovations that make enterprise data and AI more connected, trusted, and user-friendly. It showcased real-world examples of organizations integrating AI into their data and application development processes, saving time and resources.

Builders Keynote (K3)

The Builders Keynote focused on technical audiences, featuring live demos and sessions on building, deploying, and scaling AI applications on the Snowflake AI Data Cloud. It provided practical guidance for developers and data engineers, highlighting tools like Snowpark and Snowflake Notebooks.

Session Tracks

With over 500 sessions across 15 tracks, the summit covered topics such as data engineering, AI/ML, governance, and application development. Notable sessions included:

AI and ML: Sessions on leveraging Snowflake’s Cortex AI for generative AI and large language models.
Data Applications: Demonstrations of building scalable applications using Snowflake’s Native Apps Framework.
Governance and Security: Discussions on data lineage, universal search, and trust center features.

Customer Success Stories

The summit highlighted how leading organizations are using Snowflake to drive innovation and efficiency, with three prominent examples standing out.

New York Stock Exchange (NYSE)

The NYSE, part of the Intercontinental Exchange (ICE), leverages Snowflake’s Data Cloud for regulatory compliance, market surveillance, and customer reporting, handling billions of transactional records daily. By using Snowpark, a developer framework, the NYSE built Python-based data engineering pipelines, achieving:

Up to 80% better ad hoc query performance.
Over 50% cost savings for regulatory reporting within one month.
Enhanced scalability and cost transparency for global operations.

The NYSE is also exploring Snowflake’s AI/ML features and the Snowflake Marketplace for future optimizations.

Caterpillar Inc.

Caterpillar, a global manufacturing leader, has used Snowflake since 2017 to create a consistent view of its data, forming a critical component of its data lake. Key use cases include:

Fleet Management Apps: Enabling customers to monitor asset availability, utilization, service scheduling, and maintenance.
Analytics-Based Insights: Supporting data scientists in determining optimal asset servicing strategies.
Unified Data Environment: Facilitating logical data sharing without unmanaged replication, avoiding common ETL pitfalls.

These capabilities empower Caterpillar to deliver innovative customer services and maintain a consistent data experience across its digital properties.

AstraZeneca

AstraZeneca, a leading pharmaceutical company, uses Snowflake to unify its data foundation, accelerating productivity and enabling faster delivery of critical products to patients. As highlighted by CEO Sridhar Ramaswamy during the keynote, AstraZeneca’s use of Snowflake’s AI Data Cloud transforms siloed data into real-time insights, streamlining research, development, and supply chain processes.

Broader Implications

The Snowflake Summit 2025 underscored the inseparable link between data and AI, with Snowflake’s platform serving as a catalyst for enterprise innovation. The event’s focus on generative AI, scalable data architectures, and secure collaboration aligns with the growing demand for production-ready AI solutions. As Ramaswamy stated, “There is no AI strategy without a data strategy,” emphasizing Snowflake’s role in providing a connected ecosystem for data-driven decision-making.

Just announced: @Snowflake has agreed to acquire @crunchydata, bringing open-source Postgres tech into the AI Data Cloud.

With this news, we will be introducing Snowflake Postgres: enterprise-grade, AI-ready, and fully managed.

Run your most critical, AI-powered apps on… pic.twitter.com/M6tdOd2uQV
— sridhar (@RamaswmySridhar) June 2, 2025

The partnership with LA28 and the acquisition of Crunchy Data highlight Snowflake’s ambition to expand its influence across diverse industries and technical domains. The summit’s extensive session catalog and networking opportunities further solidified its reputation as a premier event for data professionals, offering actionable insights and hands-on learning experiences.

Final Thoughts

The Snowflake Summit 2025 was a defining moment for the data and AI community, showcasing Snowflake’s latest innovations and their real-world impact. From Snowflake Intelligence to the LA28 Olympics partnership, the event demonstrated how Snowflake is empowering organizations to break down data silos, reduce costs, and drive innovation.

With compelling customer stories from the NYSE, Caterpillar, and AstraZeneca, and a robust program of keynotes and sessions, the summit provided a roadmap for leveraging data and AI to shape the future. As organizations continue to navigate the complexities of the digital landscape, Snowflake’s AI Data Cloud remains a trusted foundation for success.

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Snowflake Summit 2025: AI Revolution Takes the Olympic Stage

Event Overview