Snowflake Industry Solutions

End-to-end solution accelerators built on Snowflake, Coretex Code, showcasing Cortex AI, Snowflake ML, and the modern data platform.

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Solution Catalog

sf-hcls-solutions — Healthcare & Life Sciences

#	Solution	Description	Key Snowflake Features
1	Clinical Quality Agent	AI-powered Cortex Agent for Chief Quality Officers to analyze patient outcomes, infections, mortality rates, and safety indicators using natural language	Cortex Agent, Cortex Analyst, Cortex Search, Notifications
2	Medical Device Streaming	Real-time medical device data streaming platform for ECG, EDA, and PPG biosignal data with live analytics	Snowpipe Streaming, ASOF Joins, Dynamic Tables

sf-mleu-solutions — Manufacturing, Logistics, Energy & Utilities

#	Solution	Description	Key Snowflake Features
1	GNN Supply Chain Risk	AI-driven N-tier supply chain resilience using Graph Neural Networks. Identifies hidden Tier-2+ supplier dependencies and concentration risks	PyTorch Geometric, GPU Compute (SPCS), Cortex Agent, Semantic Model
2	Predictive Maintenance	Predictive maintenance solution for industrial equipment using Snowflake ML	Snowflake ML, Cortex AI Functions
3	Supply Chain Intelligence	Agentic AI platform for supply chain management with multi-agent orchestration	Cortex Agent, Cortex Analyst, Cortex Search, Streamlit

sf-marketing-solutions — Advertising, AdTech & MarTech

#	Solution	Description	Key Snowflake Features
1	OpenRTB Analyst Agent	Programmatic advertising analytics with OpenRTB bid request data and natural language queries	Cortex Agent, Semantic View, Dynamic Tables
2	SSP Impression Analytics	SSP impression analytics with Cortex Agent and Semantic View	Cortex Agent, Semantic View

sf-rcg-solutions — Retail, CPG & General

#	Solution	Description	Key Snowflake Features
1	Customer Lifetime Value Prediction	Predict customer lifetime value using Snowflake ML regression models	Snowflake ML Regression, Cortex AI Functions

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Quick Install (via Cortex Code)

# TBA

Then run a solution by name:

$sf-solutions:<solution-name>

Getting Started

Each solution is self-contained in its own directory with:

<solution-name>/
├── README.md          # Overview, architecture, prerequisites
├── manifest.json      # Solution metadata
├── scripts/
│   ├── setup.sql      # Install script
│   └── teardown.sql   # Cleanup script
└── semantic/          # Semantic models (optional)

Prerequisites

• Snowflake account (Enterprise edition recommended)
• Appropriate role with CREATE DATABASE / SCHEMA privileges
• Warehouse (default: COMPUTE_WH)

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Related Resources

Web Pages

• Snowflake ML - Integrated set of capabilities for development, MLOps and inference leading with agentic ML
• Snowflake Notebooks - Jupyter-based notebooks in Snowflake Workspaces
• Cortex Code - Snowflake's AI native coding agent that boosts ML productivity

Technical Documentation

• Cortex Code Documentation - Getting started with Cortex Code
• Cortex Code in Snowsight - Browser-based experience
• Cortex Code CLI - Command-line experience
• Snowflake ML Documentation - Official Snowflake ML developer guide
• Snowflake ML Quickstart - Hands-on guides to get started with Snowflake ML