A：Car AI Gateway is a tool introduced by the company that dynamically routes tasks to the right model based on customer-defined policy and real-world performance data, incorporating costs and governance controls. It enables customers to deploy AI more broadly and with greater confidence.

A：In marketing, Snowflake has brought search optimization in-house, saved $100,000 in annual agency spend, reduced keyword research time from 10 hours to 20 minutes, and cut content production from 24 hours to two hours. Financially, long-range planning now requires less staff and fewer spreadsheets, with automated prospecting for over 125,000 contacts and leads, and 70% of initial outreach generated automatically before sales team involvement.

A：During the first half of the year, Snowflake launched over 330 product capabilities to general availability, more than in the same period of the previous year. The company is rapidly innovating and expanding its platform, which is reflected in strong new customer growth and operational discipline.

A：The company remains on track for GAAP profitability in Q4 of fiscal year 2028 and is building operational leverage to strengthen the durability of that outcome. Non-GAAP operating margin has been expanded, and the company is seeing strong product momentum with a long runway for durable, high growth and continued margin expansion.

A：The company's continued investment in growth, supported by operational discipline, positions it well to capture the AI opportunity. This investment leads to new workloads on the platform, extends reach to new users, and drives greater consumption across the business, which translates into growth for the company.

A：In Q2, product revenue grew 37% year over year, marking three consecutive quarters of acceleration. This growth is attributed to continued strength in the core data platform business and a rise in AI revenue. The company added 829 global customers and has a strong net revenue retention rate of 126%, with a growing number of customers spending above the $1 million threshold.

A：The company has raised its product revenue guidance for the year, expecting a total of $6.07 billion, which represents 36% year over year growth. For Q3, the company expects product revenue between $1.588 and $1.593 billion, with 37% to 38% year over year growth. The non-GAAP operating margin for the year is revised to 14.5%, and for Q3, it is reiterated at 15.5%.

A：The company's progress against growth priorities is evident in the strength of their quarterly results.

A：The speaker is referring to the acceleration on Ed levels when mentioning 'Ed levels'.

A：Snowflake is considered the right solution for the mentioned use cases because it allows optimization of data processing and query execution more easily than before, and comes with cost management tools that are a top skill for the company. It also helps drive spend efficiency, which is important for building trust with customers and leads to new projects.

A：Optimization tools like Co and cost management are important for growth because they make it easier to optimize data processing, which in turn contributes to the company's ability to drive efficient spend and build trust with customers, leading to new projects and continued growth.

A：The company's approach to spend efficiency has contributed to customer relationships by emphasizing the importance of efficient spend to every customer interaction, which is seen as a trust-building exercise that pays for itself in new projects implemented on Snowflake.

A：According to the CEO, AI has significantly reduced the distance between data and value, allowing the CEO to gain value from data more quickly. This has positively impacted business operations by improving the efficiency of leadership functions, account planning, sales leadership effectiveness, and financial operations, among others. The company has demonstrated the effectiveness of their tools internally, which provides credibility in conversations about transformation with customers.

A：The company is ensuring the durability of its growth by guiding with observed behavior, seeing several quarters of that behavior, and having a strong sales team that communicates the business value of the use cases. Additionally, the adoption of new products like Co is increasing core usage, which creates a flywheel effect contributing to the company's durable growth.

A：The recent acceleration in the company's growth is attributed to a broad base of customers, the easy optimization capabilities of new products like Co, the lessons learned from the pandemic, the drive for efficient spend, and the internal transformation of the company's operations using their own products. The growth is not concentrated in any one sector and is supported by the increasing adoption of new products and a stronger relationship with existing customers.

A：Model neutrality is identified as a significant competitive advantage for Snowflake, as it allows customers the flexibility to switch models without being committed to a specific model company. This neutrality provides the opportunity for automatic routing into the right model for the task, which is highly valued by customers and contributes to Snowflake's differentiation in the market.

A：Snowflake prioritizes developing great products and ensuring massive adoption through use cases to drive revenue. While they have seen non-scattered ISS margin decrease to 74% due to increased guidance, they remain committed to driving overall operating margin leverage in the business. They plan to continue working on margins as they focus on providing the best business outcome for their customers and driving operating leverage in the model.

A：Snowflake is seeing performance across all regions, with low bits of the sales TBR and a positive outlook factored into their guidance. The company operates very well in all regions, which are contributing to their overall performance.

A：The acceleration of AI revenues for Snowflake is attributed to a combination of factors, including the demonstration of flexible and quick value from data through products like Flywheel, the AI capabilities making Snowflake's sales team more confident in supporting any use case, and the ease of creating agents to get value from data. Additionally, Snowflake is not only acquiring customers but also tracking the 'time to 80% of purchased consumption for new logos', which has shown significant improvement for the newest customer cohorts, further highlighting the efficiency gains from AI integration.

A：Co and Co work are being leveraged throughout every function and key business process at Snowflake. They are used not only to inform the quality and completeness of products but also to engage with customers and demonstrate how to become AI native and drive efficiencies.

A：Evidence supporting that AI adoption leads to higher lifetime consumption includes cohort behavior measurements, the increasing breadth and depth of use cases, and the ability of AI to perform sophisticated actions that previously required specialized software or complex implementation cycles. Confidence is also derived from conversations with customers about new use cases, such as supply chain optimization and enhanced fraud and risk detection systems.

A：Yes, there has been a noticeable difference in adoption for Ed accounts, with bigger lands, more users, and larger consumption right out of the gate being observed. This is attributed to a sophisticated methodology for measuring CoCo penetration, tools for product adoption, and successful matching of actions to outcomes.

A：The ambition regarding model neutrality is unchanged; models are not being trained for a frontier type of model but are being developed in the Arctic family for specific tasks where accuracy is constrained. This includes A functions, document processing, and embedding. The company continues to engage in activities like mixing and matching frontier and Arctic models to help customers achieve the correct results efficiently.

A：Asset managers are facing the problem of receiving a large number of data sets every day, which is distributed across hundreds or thousands of people. Information distribution is manual, with spreadsheets being passed around and models needing to be updated on local PCs.

A：Snowflake is helping asset managers by constructing a multiplexer and demultiplexer for important information to streamline the process and improve both their return and reduce their exposure to risk.

A：The frontier engineering team at Snowflake combines knowledge of data platforms with harnesses like Hadoop and Hive, and industry-specific knowledge to drive meaningful outcomes for customers.

A：Snowflake's approach contributes to customer success by focusing on delivering business outcomes, operating on a clean, open, and well-understood architecture, and ensuring the customer appears capable and confident in their data team's capabilities.

A：Snowflake positions itself as a part of the overall software estate of customers, offering interoperability, and recognizing that it is important for application providers to consolidate data in a single central platform. Snowflake supports applications, including systems of record and operational ones, being built on top of it.

A：The recent change in the guidance for the full year, with a more balanced increase in revenue between core and AI products, suggests an acceleration in product revenue growth. This reflects strength in both AI products and the core, indicating a positive shift in customer behavior.