What is Snowflake Cortex?

That’s why Snowflake Data Cloud created Cortex, an AI service built directly in Snowflake that’s easy to use and understand. Snowflake Cortex is an intelligent, fully-managed service within Snowflake that lets businesses leverage the power of machine learning (ML) and artificial intelligence (AI) directly on their data with minimal ML or AI knowledge. Cortex offers pre-built ML functions for tasks like forecasting and anomaly detection and access to industry-leading large language models (LLMs) for working with unstructured text data. Using Cortex, you can train a model with time series data and receive predictions from the model in just a few short SQL commands. Create a forecast object in Snowflake based on your prepared data:. Another time series function, like Forecast Anomaly Detection, allows you to train a model to find outliers in your data. By simplifying data analysis, automating tasks, and fostering deeper insights, Cortex equips you to confidently make data-driven decisions and propel your business forward in the age of AI.

AI Agent行业深度分析

1. Snowflake AI and ML | Snowflake Documentation

* **Snowflake Cortex** is a suite of AI features that use large language models (LLMs) to understand unstructured data, answer freeform questions, and provide intelligent assistance. Snowflake AI Features and their underlying models are designed with the following principles in mind:. * **Data privacy.** Snowflake never uses your Customer Data to train models made available to our customer base. Snowflake is continually working to improve the quality of its offerings, including the models powering the Snowflake AI Features. This section describes how updates to those models fit into Snowflake’s Behavior Change process. Snowflake continuously updates the models that power Cortex AI features to improve quality, performance, and availability. Snowflake periodically deprecates models to ensure customers have access to high-quality, well-supported options. * Your use of any Snowflake AI Feature that is identified as being powered by a third-party, open-source model is subject to any applicable license agreement and/or acceptable use policy set forth under the Offering-Specific Terms page available at .

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2. Snowflake Cortex AI | Generative AI Services

# Snowflake Cortex AI. Turn conversations, documents and images into intelligent insights with AI next to your data. Access industry-leading LLMs at scale directly in SQL or via APIs, analyze multimodal data and build agents — all within Snowflake’s secure perimeter. snowflake connect ai data cloud. #### Snowflake Connect: AI Data Cloud. Build gen AI applications directly in SQL or via APIs. Query multimodal data, orchestrate data agents and explore insights. Use AI and LLMs within Snowflake’s security perimeter with built-in policies, access controls, and end-to-end observability. ## LEADING DATA AND ENGINEERING TEAMSUSE SNOWFLAKE CORTEX AI. “The great thing about building AI agents in Snowflake is the ability to bring structured and unstructured data together in one place.”. #### Penske Drives Excellence and Efficiency with Gen AI Using Snowflake Cortex. #### Integrated governance and observability for data and AI. Protect your data used in gen AI applications with Snowflake’s unified security, governance and data access controls.

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3. Snowflake Unveils Cortex Code, An AI Coding Agent That Drastically Increases Pro

*Cortex Code, Snowflake’s AI coding agent, helps customers like Braze, Decile, dentsu, FYUL, LendingTree, Shelter Mutual Insurance, TextNow, United Rentals, and WHOOP perform complex data engineering, analytics, machine learning, and agent-building tasks in simple, natural language*. *Cortex Code CLI makes every data team more productive by bringing secure, Snowflake-aware coding assistance to local development workflows so enterprises can build faster within their preferred environments*. “As we look at how agentic AI can accelerate our data and analytics roadmap, speed and iteration are critical,” said Srinivas Madabushi, Senior Vice President, Technology, **LendingTree.** “Cortex Code gives our teams a simple, in-platform way to move quickly from exploring ideas to delivering AI-driven workflows directly on Snowflake. “Cortex Code has quickly improved how we build and operate AI across Snowflake, from day-to-day development to the production-grade agents we deliver to our teams,” said Matt Luizzi, Senior Director of Business Analytics, **WHOOP.** “Using Cortex Code, we’ve been able to optimize our existing Cortex Agents and benchmark against different Evaluation Sets to improve performance and accuracy.

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4. Getting Started With Snowflake Cortex AI

[Snowflake for Developers](https://www.snowflake.com/content/snowflake-site/global/en/developers)[Guides](https://www.snowflake.com/content/snowflake-site/global/en/developers/guides)Getting Started With Snowflake Cortex AI. * How to use Snowflake Cortex AI for custom tasks like summarizing long-form text into JSON formatted output using prompt engineering and task-specific LLM functions to perform operations like translate, sentiment scoring, etc. select transcript,snowflake.cortex.translate(transcript,’de_DE’,’en_XX’) from call_transcripts where language = ‘German’;. See the list of [supported languages](https://docs.snowflake.com/en/sql-reference/functions/translate-snowflake-cortex#usage-notes). Let’s try using one of the [other supported LLMs in Snowflake](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions#availability) with `snowflake.cortex.complete` function and see how it might perform given the same prompt/instructions. For an end-to-end application experience with Snowflake Cortex AI using SQL and Python APIs, download this [.ipynb](https://github.com/Snowflake-Labs/snowflake-demo-notebooks/blob/main/Getting%20Started%20With%20Snowflake%20Cortex%20AI%20in%20Snowflake%20Notebooks/dash_snowflake_cortex_ai_101_notebook_app.ipynb) and [import](https://docs.snowflake.com/en/user-guide/ui-snowsight/notebooks-create#label-notebooks-import) it in your Snowflake account. * How to use Snowflake Cortex AI for custom tasks like summarizing long-form text into JSON formatted output using prompt engineering and task-specific LLM functions to perform operations like translate, sentiment scoring, etc. * [Snowflake Cortex AI: Overview](https://docs.snowflake.com/en/user-guide/snowflake-cortex/overview). * [Snowflake Cortex AI: Functions](https://docs.snow

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