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Atlas AI

Free App

Make Gen AI work for Industry

Workflow automation
Low-code builder
Decision-making support

About Atlas AI

Launched Nov 25, 2024

Categories

Industry :

Energy & Utilities

Website

Introduction Video

Description

Make Gen AI work for Industry

Cognite Atlas AI is an industrial agent workbench that extends Cognite Data Fusion®. Get a low-code industrial agent builder that enables you to use Gen AI to carry out more complex operations with greater accuracy, including workflow automation and decision-making support, and accelerate efficiencies that can generate tens of millions of dollars in business impact.
Atlas AI website

Atlas AI Key Features

  • Low-Code Agent Builder
  • Industrial Knowledge Graph
  • autoLLM Capabilities
  • Easy deployment
  • Out-of-the-Box industrial agents

Atlas AI Use Cases

  • Data exploration
  • Troubleshooting
  • Turnaround planning
  • Field operations
  • Production optimization

Pros

  • Offers a low-code platform, making it accessible for users without extensive coding experience.
  • Enhances operational efficiency by utilizing Gen AI for complex industrial operations.
  • Integrates well with Cognite Data Fusion®, potentially adding significant value to existing systems.
  • Supports workflow automation, which can streamline processes and improve productivity.
  • Facilitates improved decision-making through AI-powered insights.
  • Capable of generating substantial business impact, potentially saving or earning companies tens of millions of dollars.
  • Designed specifically for industrial applications, making it highly relevant for industry professionals.

Cons

  • May require a learning curve for users unfamiliar with Gen AI concepts.
  • The effectiveness is heavily reliant on the quality and integration of existing data within Cognite Data Fusion®.
  • Initial setup and customization could require specialist support or consultation.
  • Specific utility and benefits might vary depending on the industry or the size of the organization using it.
  • Potentially high dependency on technological infrastructure, which may pose challenges for companies with legacy systems.

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