Snowflake Summit 2025: Fueling AI-Powered Insights

The Big Shift: From Experiments to Impact

At Snowflake Summit 2025, one message stood out: AI’s real impact isn’t about flashy pilots, it’s about solving the everyday friction between data and action. The latest Snowflake Summit announcements are aimed at helping organizations eliminate that friction through three essentials:

1. Frictionless access to data

2. Clarity in acting on insights

3. Confidence in data protection

This year’s updates are less about hype and more about helping teams use AI to power data analysis in ways that drive speed, accuracy, and value.

Smarter AI, Accessible to Everyone

Snowflake unveiled a suite of agentic AI features designed to make intelligence more usable for both business users and data scientists:

• Snowflake Intelligence (public preview) - A conversational interface that lets users securely “talk to their data” in natural language, no code required.

• Data Science Agent (private preview) - An AI companion that automates every step of the ML workflow, from prep to training.

• Cortex AISQL (public preview) - Run multimodal data analysis using familiar SQL, extending analytics into unstructured formats.

• AI Observability in Cortex AI - No-code monitoring of generative AI applications, now generally available.

• SnowConvert AI - Speeds migration by translating legacy DB syntax into Snowflake-ready code, making modernization faster and less painful.

The takeaway? Snowflake is moving AI from siloed teams into the hands of every analyst and engineer.

Unlocking Data Interoperability

Data locked in silos slows decisions and weakens competitiveness. Snowflake’s new interoperability features aim to change that:

• Snowflake Openflow - A managed, multimodal ingestion service with hundreds of connectors, simplifying integration across sources.

• dbt Projects on Snowflake (public preview) - Build, run, and monitor dbt projects directly inside Snowsight for faster, more reliable pipelines.

The promise: one seamless platform to reduce complexity and even cut costs by consolidating ingestion tools.

Turning Collaboration Into Advantage

True AI-powered transformation requires not just better tools, but richer data ecosystems. Snowflake’s announcements highlight ways to make that collaboration secure and scalable:

• Cortex Knowledge Extensions (GA) - Integrate real-time content from trusted publishers like AP, USA TODAY, and Stack Overflow.

• Sharing of Semantic Models (private preview) - Enable natural language queries across internal and third-party structured data.

• Agentic Snowflake Native Apps - A new way to build and share interoperable, AI-driven apps on Snowflake Marketplace.

• Enhanced Native App Framework - Stronger controls around versioning, permissions, observability, and compliance.

Together, these updates reinforce Snowflake’s role as both a secure data hub and a launchpad for innovation.

What This Means for You

The announcements from Snowflake Summit 2025 point toward a future where AI is less about experimentation and more about measurable outcomes:

• Faster insights without code barriers.

• Richer collaboration across ecosystems.

• Security and governance baked into every layer.

For leaders looking to turn AI potential into business value, the message is clear: the road to impact runs through accessible, interoperable, and protected data.