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C3 AI Platform

Score8 out of 10

2 Reviews and Ratings

What is C3 AI Platform?

C3 AI Platform is a platform for designing and deploying enterprise-scale machine learning applications. With a set of low-code development tools and native integrations to a wide array of data sources, C3 AI Suite aims to help enterprises turn raw data into forecasts, insights, and actions.

Media

Screenshot of The C3 AI ML Studio software includes tools for configuring and running machine learning optimization experiments
Screenshot of Users can define and visualize data transformations from source formats to the unified model inside the C3 AI Data Studio application

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Screenshot of The C3 AI ML Studio software includes tools for configuring and running machine learning optimization experiments

Top Performing Features

  • Platform Security

    Security guardrails in place to help prevent malware, data breaches etc.

    Category average: 8.6

  • Platform Scalability

    Apps developed by low-code platform must be scalable and capable of supporting large numbers of users

    Category average: 8.6

  • Visual Modeling

    Visual modeling tooling allows business users to design processes visually.

    Category average: 7.7

Areas for Improvement

  • Platform User Management

    Tools enabling admins to control user access and on-board and off-board users

    Category average: 8.3

  • Drag-and-drop Interfaces

    Drag-and-drop interface for building applications

    Category average: 8.4

  • Reusability

    An internal repository where assets, modules, and even entire applications can be reused

    Category average: 8.6

Enterprise AI at Scale. Powerful but Requires a Serious Commitment

Use Cases and Deployment Scope

C3 AI Platform offers a comprehensive AI platform, with their key differentiation being industry/vertical specific AI apps, which drastically improves speed of deployment and improves scalability. Also C3 AI Platform offers industry specific data foundry expertise and is particularly strong in the manufacturing, defense, finance, energy and infra sectors. We have in production several use cases in these industries ranging from automatic energy demand management to improving infrastructure utilization.

Pros

  • Industry specific AI applications
  • Very low time to deployment
  • High scalability

Cons

  • Steep learning curve especially for industry agnostic developers who find the interface a bit complex.
  • Initial deployment can be a bit time consuming and the product support can be hard to come by immediately
  • industry specific optimization engines can have a bit of a "black-box" nature at times but this is the trade-off for rapid deployment and scalability it offers

Return on Investment

  • Productivity improvement of up-to 40%
  • Cost reduction of up-to 20%
  • Revenue up-lift of up-to 10%
  • Overall ROI is ~ 600%

Usability

Alternatives Considered

Databricks Data Intelligence Platform, Palantir Foundry and Vertex AI

Other Software Used

Databricks Data Intelligence Platform, Vertex AI, Snowflake