Application Canvas
C3 AI Studio exposes the power of C3 AI’s model-driven architecture through an intuitive application canvas, and the integrated best-of-breed tools allow business experts, data scientists, data engineers, application developers, and IT to easily collaborate on complex AI applications.
Data
C3 AI Studio provides data engineers, data analysts, data scientists, and data owners with an application canvas, a visual environment tightly integrated with deep-code tools, to work with data.
- Seamlessly integrate disparate internal and external data using out-of-the-box connectors to enable streaming, batch processing/ETL, and virtualization at scale.
- Explore, clean, contextualize, and label data through human-in-the-loop and AI-driven approaches.
- Visualize data pipelines and engineer features through an integrated code experience.
Machine Learning
C3 AI Studio enables data scientists to rapidly design, train, and deploy AI / ML algorithms at scale across the enterprise from the integrated application canvas.
- Configure and run AutoML experiments directly from the application canvas, keep track of experiments to discover the best settings and minimize duplication of efforts, and inspect experiment progress and results with interactive charts.
- Connect to JupyterLab from the application canvas with one-click and access all authorized data, APIs, and ML services using Python SDK.
UI Development
- C3 AI Studio empowers application developers of all backgrounds and level of expertise to go from raw data to insights, and collaborate using the application canvas to develop, maintain, and manage AI applications.
- Leverage low-code tools to easily tailor existing applications to business-specific needs.
- Theme entire applications to make sure AI applications match company branding guidelines.
- Scaffold new processes and workflows by leveraging low-code tools.
- Continue using the tools and libraries in place such as JavaScript, React, SCSS.
DevSecOps
C3 AI Studio empowers developers and administrators to configure continuous integration pipelines, inspect the qualities of build artifacts, and deploy green builds into production, all from the tools integrated with the application canvas. C3 AI Studio allows administrators to monitor the health of environments, configure environment settings, and manage usage and resourcing.
- Configure continuous integration (CI) pipelines, inspect the qualities of build artifacts, and deploy green builds into production.
- Monitor the health of environments, configure environment settings, and manage usage and resourcing.
- Review application build quality and dive deep to diagnose the causes.
- Promote release candidates into production safely and analyze the health of deployments.
- Leverage a shared repository of C3 AI Applications, using specific data modules, ML modules, or UI modules to help easily extend applications.