Ebook
The Essential Guide to Cloud AI and Data Platforms
Learn how flexible storage for diverse data types, elastic computing power, built-in AI services, governance, and administration are needed to unlock your data’s full potential.
do moreWITH SNOWFLAKE
From ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications, Snowflake helps you innovate faster and do more with your data.
Connect with us
Disney, connect with your Snowflake team!
Your Snowflake Team
Ken Gunter (Global Account Manager)Ken.Gunter@snowflake.com
Katherine Riley (Corporate)Katherine.Riley@snowflake.com
Al Mottram (Streaming)Al.Mottram@snowflake.com
Conner Elliott (Experiences)Conner.Elliott@snowflake.com
Use cases
Turn data into intelligence with AI
Efficiently process text and multimodal data at scale
Analyze batch data within Snowflake’s secure perimeter
Streamline ML development and production
Accelerate end-to-end machine learning workflows
Develop, deploy and monitor ML features and models at scale with a fully integrated platform that brings together tools, workflows and compute infrastructure to the data.
Develop models faster with Notebooks using a container-based runtime that distributes data loading and model training on GPUs.
Serve models trained anywhere for inference with Snowflake Model Registry.
Enable reliable data movement
Build, deploy and optimize data pipelines faster
- Streamline the entire pipeline lifecycle and quickly adopt new data engineering practices — or merge with existing workflows.
- Democratize data engineering with Snowflake’s end-to-end workflows, which include a growing set of native capabilities and tight integrations with open standards and data engineering-specific tools.
Enable reliable data movement
Build, deploy and optimize data pipelines faster
- Streamline the entire pipeline lifecycle and quickly adopt new data engineering practices — or merge with existing workflows.
- Democratize data engineering with Snowflake’s end-to-end workflows, which include a growing set of native capabilities and tight integrations with open standards and data engineering-specific tools.
Centralize data storage in open format
Build or seamlessly integrate your open lakehouse
- Take advantage of flexible open source standards to build your open lakehouse faster, while still getting the reliability and security of the AI Data Cloud.
- Seamlessly integrate with existing lakehouse architectures or build with an open lakehouse format from the ground up, breaking down data silos and getting to value faster
Innovate with AI
Unlock the potential of even the most advanced AI use cases
- Access and process an array of unstructured and semi-structured data with an open, flexible architecture.
- By simplifying the complexities of data engineering across the entire pipeline, Snowflake makes it surprisingly easy to build generative AI applications, enable AI agents with near real-time data flows and more.
Developer Experience
Manage delivery of your AI data foundation
- Focus more efficiently on your work with developer productivity tools like native development environments, Git integration and observability views and alerts.
- DevOps in Snowflake allows you to streamline and automate the software development lifecycle for all your Snowflake environments.
Resources
Discover more about the Snowflake AI Data Cloud
EXPEDITION
Global Virtual Event | November 3–5, 2026
