- Snowflake unveils Snowflake Cortex, its new fully managed
service that provides access to industry-leading large language
models, AI models, and vector search functionality
- Snowflake Cortex underpins the LLM-powered experiences in
Snowflake, including the new Snowflake Copilot and Universal
Search
- Users of all skill sets can access a growing set of serverless
functions within Snowflake Cortex to accelerate their analytics and
quickly build contextualized LLM-powered apps within minutes
Snowflake (NYSE: SNOW), the Data Cloud company, today announced
at its Snowday 2023 event new innovations that enable all users to
securely tap into the power of generative AI with their enterprise
data — regardless of their technical expertise. Snowflake is
simplifying how every organization can securely derive value from
generative AI with Snowflake Cortex (private preview),
Snowflake’s new fully managed service that enables organizations to
more easily discover, analyze, and build AI apps in the Data
Cloud.
This press release features multimedia. View
the full release here:
https://www.businesswire.com/news/home/20231101784861/en/
Snowflake Puts Industry-Leading Large
Language and AI Models in the Hands of All Users with Snowflake
Cortex (Graphic: Business Wire)
Snowflake Cortex gives users instant access to a growing set of
serverless functions that include industry-leading large language
models (LLMs) such as Meta AI’s Llama 2 model, task-specific
models, and advanced vector search functionality. Using these
functions, teams can accelerate their analytics and quickly build
contextualized LLM-powered apps within minutes. Snowflake has also
built three LLM-powered experiences leveraging Snowflake Cortex to
enhance user productivity including Document AI (private
preview), Snowflake Copilot (private preview), and
Universal Search (private preview).
“Snowflake is helping pioneer the next wave of AI innovation by
providing enterprises with the data foundation and cutting-edge AI
building blocks they need to create powerful AI and machine
learning apps while keeping their data safe and governed,” said
Sridhar Ramaswamy, SVP of AI, Snowflake. “With Snowflake Cortex,
businesses can now tap into the power of large language models in
seconds, build custom LLM-powered apps within minutes, and maintain
flexibility and control over their data — while reimagining how all
users tap into generative AI to deliver business value.”
Customers Can Easily Develop LLM-Powered Apps Using
Serverless Functions with Snowflake Cortex
As a fully managed service, Snowflake Cortex gives all customers
the necessary building blocks to easily harness LLMs and AI,
without the need for AI expertise or complex GPU-based
infrastructure management. This includes a growing set of
serverless functions available with a function call in SQL or
Python code. Users of all skill sets can access these functions to
quickly analyze data or build AI apps — all running in Snowflake
Cortex’s cost-optimized infrastructure. These new functions
include:
- Specialized Functions (private preview): A set of
task-specific functions that leverage cost-effective language and
AI models to accelerate everyday analytics. For any given input
text, these models can detect sentiment, extract an answer,
summarize the text, and translate it to a selected language.
Specialized functions also include Snowflake’s existing machine
learning-powered functions, including forecasting (generally
available soon), anomaly detection (generally available soon),
contribution explorer (public preview), and classification (private
preview soon).
- General-Purpose Functions (private preview): A set of
conversational functions that leverage industry-leading open source
LLMs (private preview), including the open source Llama 2 model,
and high-performance Snowflake LLMs (private preview soon),
including a text-to-SQL model, for users to easily “chat” with
their data to support a broad range of use cases. These functions
also include vector embedding and search functionality (private
preview soon), so users can easily contextualize the model
responses with their data to create customized apps in minutes.
Snowflake is also adding vector as a native data type within the
Data Cloud, helping users more efficiently run these functions
against their data in Snowflake.
Streamlit in Snowflake (public preview) further
helps accelerate the creation of custom LLM-powered apps, enabling
users to quickly turn their data, AI models, and analytic and app
functions into interactive apps written in Python. There have been
over 10,000+ apps developed using Streamlit in Snowflake today (as
of September 2023), with organizations including Priority
Health, the health plan of Corewell Health, AppFolio,
Braze, TransUnion, and more creating production-ready
apps.
Snowflake Cortex Unlocks Native LLM Experiences to Increase
Productivity in the Data Cloud
Snowflake is also unveiling new LLM-powered experiences built on
Snowflake Cortex as the underlying service. These complete
experiences include user interfaces and high-performance LLMs fully
hosted and managed by Snowflake Cortex, making them ideal for
business teams and analysts across organizations. To further
improve productivity across the Data Cloud, Snowflake’s new LLM
experiences include:
- Snowflake Copilot (private preview): Snowflake’s new
LLM-powered assistant, Snowflake Copilot, brings generative AI to
everyday Snowflake coding tasks with natural language. Users can
now ask questions of their data in plain text, write SQL queries
against relevant data sets, refine queries and filter down
insights, and more.
- Universal Search (private preview): With Universal
Search, Snowflake is unveiling new LLM-powered search functionality
so users can find and start getting value from the most relevant
data and apps for their use cases, faster. This includes search
across a customer’s Snowflake account, including databases, views,
and Iceberg Tables (public preview soon), alongside search across
data and Snowflake Native Apps available on Snowflake
Marketplace.
- Document AI (private preview): Serving as Snowflake’s
first LLM experience, Document AI helps enterprises use LLMs to
easily extract content like invoice amounts or contractual terms
from documents and fine-tune results using a visual interface and
natural language. Customers are using Document AI to help their
teams be smarter about their businesses, and increase efficiency in
secure and scalable ways.
Snowflake Empowers Users to Fully Customize Their LLM Apps
with Virtually No Limits
For more advanced users that want to fully customize their LLM
apps, Snowflake is empowering them with Snowpark Container
Services (public preview soon in select AWS regions), which
simplifies the deployment and management of containerized workloads
securely in Snowflake. Using Snowpark Container Services,
developers have the flexibility to run sophisticated third-party
apps, including those from commercial LLMs and vector databases,
entirely in their Snowflake account. Organizations can also easily
deploy, fine-tune, and manage any open source LLM within the Data
Cloud.
Snowflake also unveiled advancements that make it easier for
developers to build ML models and full-stack apps in the Data
Cloud, enhancements to further eliminate data silos and strengthen
Snowflake’s leading compliance and governance capabilities through
Snowflake Horizon, and more at Snowday 2023.
Learn More:
- Read how Snowflake Cortex is providing customers with fast,
easy, and secure LLM-powered app development in this blog
post.
- Learn more about how users with little to no AI expertise can
start using new experiences and functions within seconds in this
blog post.
- Stay on top of the latest news and announcements from Snowflake
on LinkedIn and Twitter.
Forward Looking Statements
This press release contains express and implied forward-looking
statements, including statements regarding (i) Snowflake’s business
strategy, (ii) Snowflake’s products, services, and technology
offerings, including those that are under development or not
generally available, (iii) market growth, trends, and competitive
considerations, and (iv) the integration, interoperability, and
availability of Snowflake’s products with and on third-party
platforms. These forward-looking statements are subject to a number
of risks, uncertainties and assumptions, including those described
under the heading “Risk Factors” and elsewhere in the Quarterly
Reports on Form 10-Q and the Annual Reports on Form 10-K that
Snowflake files with the Securities and Exchange Commission. In
light of these risks, uncertainties, and assumptions, actual
results could differ materially and adversely from those
anticipated or implied in the forward-looking statements. These
statements speak only as of the date the statements are first made
and are based on information available to us at the time those
statements are made and/or management's good faith belief as of
that time. Except as required by law, Snowflake undertakes no
obligation, and does not intend, to update the statements in this
press release. As a result, you should not rely on any
forward-looking statements as predictions of future events.
Any future product information in this press release is intended
to outline general product direction. This information is not a
commitment, promise, or legal obligation for us to deliver any
future products, features, or functionality; and is not intended to
be, and shall not be deemed to be, incorporated into any contract.
The actual timing of any product, feature, or functionality that is
ultimately made available may be different from what is presented
in this press release.
© 2023 Snowflake Inc. All rights reserved. Snowflake, the
Snowflake logo, and all other Snowflake product, feature and
service names mentioned herein are registered trademarks or
trademarks of Snowflake Inc. in the United States and other
countries. All other brand names or logos mentioned or used herein
are for identification purposes only and may be the trademarks of
their respective holder(s). Snowflake may not be associated with,
or be sponsored or endorsed by, any such holder(s).
About Snowflake
Snowflake enables every organization to mobilize their data with
Snowflake’s Data Cloud. Customers use the Data Cloud to unite
siloed data, discover and securely share data, power data
applications, and execute diverse AI/ML and analytic workloads.
Wherever data or users live, Snowflake delivers a single data
experience that spans multiple clouds and geographies. Thousands of
customers across many industries, including 639 of the 2023 Forbes
Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to
power their businesses. Learn more at snowflake.com.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20231101784861/en/
Kaitlyn Hopkins Product PR Lead, Snowflake
press@snowflake.com
Snowflake (NYSE:SNOW)
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