For organizations with well-established data infrastructures, the question is no longer how to gather and process data but how to maximize the value derived from it. The DAS42 team is committed to leading organizations through this process with our AI42 framework, particularly those who leverage Snowflake. If your organization has already built a robust data foundation around Snowflake, the next step is harnessing that data to uncover deeper insights and drive meaningful outcomes.

Snowflake’s native capabilities provide an efficient, scalable solution for leveraging advanced Artificial Intelligence & Machine Learning (AI & ML) use cases directly within the platform. As new features are released, Snowflake continues to simplify the process of embedding intelligence into your workflows without the need for complex integrations to external offerings. 

In this blog, we’ll cover how Snowflake can help you unlock the true potential of your data and shorten the runway to value generation. We’ll walk through some of Snowflake’s new AI & ML tools that empower organizations to make the most of their data, without the complexity of moving it across systems and without a high level of technical complexity.

1. Snowflake AI & ML Studio: A One-Stop Shop for Modeling

The Snowflake AI & ML Studio is a one-stop-shop for your modeling needs. Currently supporting forecasting, classification, and anomaly detection, the AI & ML Studio guides you through target and feature selection in a beginner friendly no-code environment. 

After walking users through the process of supplying valid data inputs, Snowflake generates the necessary SQL script to create your model and produce basic evaluation metrics (values that let you know how effective your model is at making predictions).

After the initial SQL is generated, those who are comfortable with basic AI & ML concepts can tune the model’s parameters and evaluation metrics at their convenience, making this a great tool for those of all skill levels. With new features in preview such as custom large language models (LLMs) and Cortex Search Services,

the AI & ML Studio is a powerful tool for quickly generating and optimizing models to derive insights and create value. 

Learn More: Explore Snowflake for Gen AI & ML

2. Document AI: Advanced Document Processing

Large language models are AI models that process natural language to perform tasks such as summarizing text or answering questions based on provided documents. Document AI is a Snowflake AI feature that uses Arctic-TILT, a proprietary large language model, to extract data from documents. 

Document AI empowers professionals to process documents of a variety of formats and to extract information from unstructured data such as graphics and text.

All in all, Document AI is best suited for converting unstructured data into structured table formats, and it can be implemented for continuous processing of new documents of the same type, such as invoices and contracts, so that you can extract relevant insights and keep crucial reports up to date without the need for constant user intervention.

To get started with Document AI, you first create a model build which represents a specific document type or use case. This use case could be as simple as pulling information from customer invoices, or it could be more complex, such as extracting relevant insights from customer feedback surveys to prepare for sentiment analysis with Snowflake Cortex. 

A Document AI model build includes the model itself, the data values to be extracted, and the documents used for testing and training. This process is carried out through the Document AI interface in Snowsight, which allows you to easily configure the model, upload documents, define the data to be extracted, and refine the model for better accuracy all from the Snowflake interface.

After the model build is ready, you can begin extracting information from documents using an extraction query using the <model_build_name>!PREDICT method. This query leverages the trained model to process new documents pertaining to the model build’s use case to extract relevant data. You can then automate the extraction process by creating pipelines for continuous document processing to ensure an efficient workflow at any scale.

Learn More: Explore Document AI

3. Cortex Search: Powerful Indexing and Search Capabilities

Snowflake’s Cortex Search is a powerful tool for indexing and searching unstructured text data, enabling advanced text-based queries directly within the Snowflake ecosystem. It’s ideal for applications such as embedding search functionality into applications (enterprise search) and retrieval-augmented generation (RAG) for LLM-powered chatbots. Retrieval-augmented generation improves large language models by incorporating real-time data retrieval to allow the model to access external databases for more accurate, up-to-date, and contextually relevant responses.

With Cortex Search, you can create search indexes for tables containing text-heavy data, run natural language queries, and retrieve relevant results using simple SQL. For RAG workflows, this capability ensures that LLMs are augmented with accurate, up-to-date data, which improves their utility for tasks like customer support and document analysis.

As an enterprise search engine, Cortex Search empowers businesses to streamline knowledge retrieval, boost productivity, and to unlock the value of unstructured data.

Cortex Search Services can be generated either with your own custom SQL script, or by using the AI & ML Studio that we discussed earlier for a faster result.

Learn More: Explore Cortex Search

4. Snowflake Model Registry: Easily Manage and Deploy MLMs

Snowflake’s Model Registry is a centralized solution for managing and deploying machine learning models directly within the Snowflake environment. It supports various types of models, including Python-based models developed using popular libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost, as well as SQL-based models. These models can be hosted natively in Snowflake, which makes it easy to integrate them into existing pipelines.

The Model Registry simplifies the development of machine learning models by allowing users to register, version, and track their models in one place.

Once registered, models can be deployed for real-time predictions or batch inference, allowing the model to process data and generate predictions in batches rather than using real time data, with Snowflake’s powerful compute resources. This eliminates the need for external model serving infrastructure, enabling faster deployment and reducing operational complexity.

Whether you’re building classification models, forecasting tools, or custom ML pipelines, Snowflake’s Model Registry ensures your models are securely stored, easily accessible, and ready for production. The Model Registry empowers organizations to streamline ML workflows and drive insights efficiently by unifying data and machine learning within the same centralized platform. 

Learn More: Explore Snowflake’s Model Registry

Maximize the Value of Your Snowflake Data Infrastructure with AI and ML

In today’s data-driven world, organizations that have already built a solid data foundation in Snowflake are uniquely positioned to unlock deeper insights and drive tangible outcomes. Snowflake’s constantly expanding AI & ML capabilities offer a streamlined and scalable solution to maximize the value of existing data infrastructure. From no-code tools like the AI & ML Studio to advanced unstructured data features like Document AI and Cortex Search, Snowflake simplifies the process of generating intelligent pipelines. This enables both beginners and advanced users alike to make use of the power of generative AI & ML.

By leveraging these tools, organizations can accelerate decision-making, improve operational efficiencies, and deliver personalized experiences – ultimately transforming raw data into strategic assets. With Snowflake AI & ML, it’s not about catching up; it’s about moving forward faster and smarter.

Looking for support deploying these tools at your organization? Our experts can help! Get in touch with our team to guide you through these advanced applications.