Cognite Atlas AI is a low-code platform designed to help industrial organizations build and deploy AI agents tailored to their specific operational needs. By integrating with Cognite Data Fusion®, it allows users to create intelligent agents that can analyze complex industrial data, automate tasks, and provide actionable insights. This platform aims to enhance productivity, reduce operational costs, and improve decision-making processes across various industrial sectors.
Key Features
Low-Code Agent Builder: Enables users to create custom AI agents without extensive programming knowledge, facilitating rapid development and deployment.
Industrial Knowledge Graph: Provides AI agents with contextual understanding by integrating various data sources, including documents, sensor data, and engineering models.
Pre-Built Agent Library: Offers a collection of ready-to-use agents for tasks like data exploration, troubleshooting, and document parsing.
Flexible Deployment Options: Supports integration with Cognite Data Fusion®, Microsoft Copilot, and other third-party applications.
Use Cases
Root Cause Analysis: Streamlines the process of identifying underlying issues in industrial operations, leading to faster problem resolution.
Equipment Troubleshooting: Assists in diagnosing and resolving equipment issues by analyzing relevant data and providing recommendations.
Document Parsing: Automates the extraction of information from technical documents, reducing manual data entry and errors.
Technical Specifications
Context Augmented Generation (CAG): Enhances AI responses by grounding them in the specific industrial context provided by the Knowledge Graph.
AutoLLM Capabilities: Automatically selects the most suitable language model (e.g., LLM, SLM) based on the specific industrial use case.
Scalable Infrastructure: Designed to handle large volumes of industrial data, ensuring reliable performance across various applications.