Snowflake Cortex AI delivers easy, efficient,
and trusted enterprise AI to thousands of organizations — making it
simple to create custom chat experiences, fine-tune best-in-class
models, and expedite no-code AI development
Snowflake (NYSE: SNOW), the AI Data Cloud company, today
announced at its annual user conference, Snowflake Summit 2024, new
innovations and enhancements to Snowflake Cortex AI that unlock the
next wave of enterprise AI for customers with easy, efficient, and
trusted ways to create AI-powered applications. This includes new
chat experiences, which empower organizations to develop chatbots
within minutes so they can talk directly to their enterprise data
and get the answers they need, faster. In addition, Snowflake is
further democratizing how any user can customize AI for specific
industry use cases through a new no-code interactive interface,
access to industry-leading large language models (LLMs), and
serverless fine-tunings. Snowflake is also accelerating the path
for operationalizing models with an integrated experience for
machine learning (ML) through Snowflake ML, enabling developers to
build, discover, and govern models and features across the ML
lifecycle. Snowflake’s unified platform for generative AI and ML
allows every part of the business to extract more value from their
data, while enabling full security, governance, and control to
deliver responsible, trusted AI at scale.
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Snowflake Cortex AI delivers easy,
efficient, and trusted enterprise AI to thousands of organizations
— making it simple to create custom chat experiences, fine-tune
best-in-class models, and expedite no-code AI development (Graphic:
Business Wire)
“Snowflake is at the epicenter of enterprise AI, putting easy,
efficient, and trusted AI in the hands of every user so they can
solve their most complex business challenges, without compromising
on security or governance,” said Baris Gultekin, Head of AI,
Snowflake. “Our latest advancements to Snowflake Cortex AI remove
the barriers to entry so all organizations can harness AI to build
powerful AI applications at scale and unlock unique differentiation
with their enterprise data in the AI Data Cloud.”
Give Your Entire Enterprise the Power to Talk to Data Through
New Chat Experiences
LLM-powered chatbots are a powerful way for any user to ask
questions from their enterprise data using natural language,
unlocking the insights organizations need for critical
decision-making with increased speed and efficiency. Snowflake is
unveiling two new chat capabilities, Snowflake Cortex
Analyst (public preview soon) and Snowflake Cortex
Search (public preview soon), allowing users to develop these
chatbots in a matter of minutes against their structured and
unstructured data, without operational complexity. Cortex Analyst,
built with Meta’s Llama 3 and Mistral Large models, allows
businesses to securely build applications on top of their
analytical data in Snowflake. In addition, Cortex Search harnesses
state-of-the-art retrieval and ranking technology from Neeva
(acquired by Snowflake in May 2023) alongside Snowflake Arctic
embed, so users can build applications against documents and other
text-based datasets through enterprise-grade hybrid search — a
combination of both vector and text — as a service.
“Data security and governance are of the utmost importance for
Zoom when leveraging AI for our enterprise analytics. We rely on
the Snowflake AI Data Cloud to support our internal business
functions and develop customer insights as we continue to
democratize AI across our organization,” said Awinash Sinha,
Corporate CIO, Zoom. “By combining the power of Snowflake
Cortex AI and Streamlit, we’ve been able to quickly build apps
leveraging pre-trained large language models in just a few days.
This is empowering our teams to use AI to quickly and easily access
helpful answers.”
“Although businesses typically use dashboards to consume
information from their data for strategic decision-making, this
approach has some drawbacks including information overload, limited
flexibility, and time-consuming development,” said Mukesh Dubey,
Product Owner Data Platform, CH NA, Bayer. “What if internal
functional users could ask specific questions directly on their
enterprise data and get responses back with basic visualizations?
The core of this capability is high-quality responses to a natural
language query on structured data, used in an operationally
sustainable way. This is exactly what Snowlake Cortex Analyst
enables for us. What I’m most excited about is we're just getting
started, and we're looking forward to unlocking more value with
Snowflake Cortex AI."
Data security is key to building production-grade AI
applications and chat experiences, and then scaling them across
enterprises. As a result, Snowflake is unveiling Snowflake
Cortex Guard (generally available soon), which leverages Meta’s
Llama Guard, an LLM-based input-output safeguard that filters and
flags harmful content across organizational data and assets, such
as violence and hate, self-harm, or criminal activities. With
Cortex Guard, Snowflake is further unlocking trusted AI for
enterprises, helping customers ensure that available models are
safe and usable.
Snowflake Strengthens AI Experiences to Accelerate
Productivity
In addition to enabling the easy development of custom chat
experiences, Snowflake is providing customers with pre-built
AI-powered experiences, which are fueled by Snowflake’s world-class
models. With Document AI (generally available soon), users
can easily extract content like invoice amounts or contract terms
from documents using Snowflake’s industry-leading multimodal LLM,
Snowflake Arctic-TILT, which outperforms GPT-4 and secured a top
score in the DocVQA benchmark test — the standard for visual
document question answering. Organizations including Northern
Trust harness Document AI to intelligently process documents at
scale to lower operational overhead with higher efficiency.
Snowflake is also advancing its breakthrough text-to-SQL assistant,
Snowflake Copilot (generally available soon), which combines
the strengths of Mistral Large with Snowflake’s proprietary SQL
generation model to accelerate productivity for every SQL user.
Unlock No-Code AI Development with the New Snowflake AI &
ML Studio
Snowflake Cortex AI provides customers with a robust set of
state-of-the-art models from leading providers including
Google, Meta, Mistral AI, and Reka, in
addition to Snowflake’s top-tier open source LLM Snowflake Arctic,
to accelerate AI development. Snowflake is further democratizing
how any user can bring these powerful models to their enterprise
data with the new Snowflake AI & ML Studio (private
preview), a no-code interactive interface for teams to get started
with AI development and productize their AI applications faster. In
addition, users can easily test and evaluate these models to find
the best and most cost-effective fit for their specific use cases,
ultimately accelerating the path to production while optimizing
operating costs.
To help organizations further enhance LLM performance and
deliver more personalized experiences, Snowflake is introducing
Cortex Fine-Tuning (now public preview), accessible through
AI & ML Studio or a simple SQL function. This serverless
customization is available for a subset of Meta and Mistral AI
models. These fine-tuned models can then be easily used through a
Cortex AI function, with access managed using Snowflake role-based
access controls.
Streamline Model and Feature Management with Unified,
Governed MLOps Through Snowflake ML
Once ML models and LLMs are developed, most organizations
struggle with continuously operating them in production on evolving
data sets. Snowflake ML brings MLOps capabilities to the AI Data
Cloud, so teams can seamlessly discover, manage, and govern their
features, models, and metadata across the entire ML lifecycle —
from data pre-processing to model management. These centralized
MLOps capabilities also integrate with the rest of Snowflake’s
platform, including Snowflake Notebooks and Snowpark ML for a
simple end-to-end experience.
Snowflake’s suite of MLOps capabilities include the Snowflake
Model Registry (now generally available), which allows users to
govern the access and use of all types of AI models so they can
deliver more personalized experiences and cost-saving automations
with trust and efficiency. In addition, Snowflake is announcing the
Snowflake Feature Store (now public preview), an integrated
solution for data scientists and ML engineers to create, store,
manage, and serve consistent ML features for model training and
inference, and ML Lineage (private preview), so teams can
trace the usage of features, datasets, and models across the
end-to-end ML lifecycle.
Continued Innovation at Snowflake Summit 2024
Snowflake also announced new innovations to its single, unified
platform that provide thousands of organizations with increased
flexibility and interoperability across their data; new tools that
accelerate how developers build in the AI Data Cloud; a new
collaboration with NVIDIA that customers and partners can harness
to build customized AI data applications in Snowflake; the Polaris
Catalog, a vendor-neutral, fully open catalog implementation for
Apache Iceberg; and more at Snowflake Summit 2024.
Learn More:
- Read more about how AI and ML innovations enable users to talk
to their data, security customize LLMs, and streamline model
operations in this blog post.
- Stay on top of the latest news and announcements from Snowflake
on LinkedIn and Twitter / X.
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. As a
result, you should not rely on any forward-looking statements as
predictions of future events.
© 2024 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 makes enterprise AI easy, efficient and trusted.
Thousands of companies around the globe, including hundreds of the
world’s largest, use Snowflake’s AI Data Cloud to share data, build
applications, and power their business with AI. The era of
enterprise AI is here. Learn more at snowflake.com (NYSE:
SNOW).
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version on businesswire.com: https://www.businesswire.com/news/home/20240604216985/en/
Media Contacts: Kaitlyn Hopkins Senior Product PR Lead,
Snowflake press@snowflake.com
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