How to integrate AI Models with Latttice Data Products
Connect externally hosted AI models to Latttice as data sources and seamlessly embed them into your Foundation, Fused or Analytical Data Products to operationalize intelligent, AI-powered insights.
Latttice now enables you to integrate external AI models directly into your Data Products, bringing predictive, generative, and intelligent capabilities into your governed data layer. AI models are created and hosted outside of Latttice (such as via custom APIs, OpenAI, AWS Bedrock, or other providers), then securely connected as a data source. See below an example of how to connect to an AI model via custom API.
Once connected, these models can be embedded either during the creation of a Structured (Foundation) Data Product or added later when editing an existing Foundation, Fused or Analytical Data Product. This allows you to operationalize AI within your data architecture, combining trusted data, business logic, and AI-powered insights into a single, reusable data product. Below are two examples of how to embed an AI model into your data product either during creation or an existing data product during editing.
How to Add an AI Model when Creating a Structured Data Product
The below Scribe outlines the steps taken for embedding an AI Model into a Fused Data Product. Please note the same steps are followed for Foundation & Analytical data products.
How to edit a Fused Data Product to add an AI Model