How Snowflake Is Building the Future of Data Intelligence with AI - Decode Summit Keynote

Host Brad Shimmin, Vice President & Practice Lead at Futurum, is joined by Snowflake's Carl Perry, Senior Director of Product Management, for an exclusive look at how Snowflake is building the future of data intelligence with AI. Carl shares the company's embrace of open standards like Iceberg, its ambitions for a unified AI-powered data platform, and how its ecosystem of tools, including Cortex AI, Arctic models, and the Native App Framework, is reshaping modern enterprise infrastructure.

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Key Takeaways Include:

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🔹Open standards as an entry point: Snowflake's support for Iceberg tables and open formats serves as both a way to foster interoperability and as an on-ramp to its integrated, premium AI ecosystem.

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🔹Evolving AI ambitions: With Cortex AI and Arctic models, Snowflake aims to move beyond data warehousing to potentially manage the full data-to-inference supply chain within enterprises.

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🔹Native App transformation: The introduction of the Native App Framework signals Snowflake's intent for enterprises to develop core applications directly on its platform in addition to its analytics services, while navigating CIO concerns around adoption.

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🔹Unified query engine vision: Support for Iceberg, PostgreSQL, and unstructured data points to Snowflake’s goal of becoming a single engine capable of querying any data, of any type, anywhere.

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🔹AI governance and access control: As AI agents gain the ability to query external data via features like the Polaris Catalog, Snowflake faces emerging challenges in evolving from traditional role-based access to AI-driven “robot-based” data governance.

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Learn more at Snowflake.

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Disclaimer: Keynote is for information and entertainment purposes only. Over the course of this webcast, we may talk about companies that are publicly traded, and we may even reference that fact and their equity share price, but please do not take anything that we say as a recommendation about what you should do with your investment dollars. We are not investment advisors, and we ask that you do not treat us as such.

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Midway through GTC 2025, Pat Moorhead, Founder, CEO, and Chief Analyst at Moor Insights & Strategy, shares his early insights, revealing a landscape buzzing with AI innovation and a clear vision for the future. Pat highlights takeaways from NVIDIA’s latest GPU launches, AI-driven infrastructure, and how Samsung’s advancements with GDDR7, HBM3E, and SOCAMM will impact the next wave of AI.

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Key takeaways include:

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🔹Hyperscaler Investment Surge: Despite concerns about demand saturation, the reality is a significant increase in computing demand, driven by reasoning engines and agents, leading to rising H100 and H200 prices.

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🔹Fueling the AI Ecosystem: Talks underscored the critical role of advanced memory technologies, with next-generation HBM, eSSD, and the collaborative integration of Samsung’s 24Gb GDDR7 DRAM into NVIDIA’s RTX 50 series, driving the future of AI and high-performance computing.

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🔹AI Pervasiveness: From data centers to gaming PCs, AI is permeating every aspect of technology. NVIDIA’s messaging from GTC underscored the broad applicability of AI across diverse sectors.

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🔹Software Leads the Charge: Contrary to expectations, NVIDIA’s focus was on software, with advancements in CUDA and the introduction of Dynamo, highlighting the critical role of software in enabling AI at scale.

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🔹Hardware Innovations: Announcements like Blackwell Ultra, Rubin, and the enterprise data platform, showcase NVIDIA’s commitment to pushing the boundaries of computing, networking, and storage.

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🔹Data Management is Key: The introduction of the enterprise data platform addresses a critical challenge for CIOs, highlighting the importance of efficient data management in AI deployments.

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