Relational Ai is an AI coprocessor that adds new capabilities to Snowflake’s data cloud by leveraging relational technology and knowledge graphs
It integrates powerful tools like graph analytics, rules-based reasoning, and mathematical optimization directly into the Snowflake data cloud, providing a unified platform for data-centric applications.
Relational AI Key features:
- Knowledge Graph Coprocessor to operationalize rules, relationships, and decision systems.
- Graph analytics for tasks like identifying influencers, detecting fraud, and optimizing supply chains
- Rules-based reasoning to define and enforce business policies.
- Mathematical optimization to make complex decisions like resource allocation.
- Cloud-native design that seamlessly extends Snowflake’s data cloud.
- Robust security and privacy features like data encryption
Relational AI Pricing
Relational AI offers a consumption-based pricing model, and customers can get started by installing the RelationalAI Native App in their Snowflake account. The platform requires Snowflake as the underlying data cloud and supports Python for building knowledge graphs.
Customers like Cash App, Ritchie Brothers, and Blue Yonder have reported benefits such as faster insights, reduced manual processes, and improved decision-making by using RelationalAI within their Snowflake environments.
FAQs:
What is RelationalAI?
RelationalAI is a cloud-based relational knowledge graph management system that operationalizes the rules, relationships, and decision systems that drive business decisions.
How does Relational AI work?
RelationalAI integrates powerful decision-making tools like graph analytics, rules-based reasoning, and mathematical optimization directly into the Snowflake data cloud, providing a unified platform for data-centric applications.
What are the key use cases for RelationalAI?
Key use cases include entity resolution, fraud detection, supply chain risk management, investment opportunities, and customer 360.
What is the technical requirement for RelationalAI?
RelationalAI requires Snowflake as the underlying data cloud and supports Python for building knowledge graphs and materializing them on top of Snowflake data.
