What is AI Application Development
The C3 AI Application Platform’s AI Application Development capabilities are designed for data science teams requiring uncompromised flexibility for experimentation, and unrestrained power, monitoring, and automation for ML operationalization. These capabilities provide a full view into the organization’s raw data sources and transformations using visual tools or a notebook. They can address high-complexity use cases using fully configurable and extendable templates for deep learning, natural language processing, CPU/GPU hardware selection, model auto-tuning, live production A/B testing, streaming prediction services, model life cycle management, multiple language support, composable ML Pipelines, continuous logging, CI/CD, and optimization.
Third Party Support / Integrations
On-demand Jupyter Service
Use on-demand Jupyter environments running in configurable containers with open-source libraries from Conda, PIP, or CRAN.
- Use Jupyter Notebook to view data stored in C3 AI Models
- Easily fetch instances of a C3 AI Model, and view as tables in a notebook
- Readily visualize and plot time series data
- Use your favorite libraries to visualize and explore data
Multi-language SDK’s
Develop and run custom Python functions that are checked into your GitHub repository, tested using PyTest and CI/CD processes, then executed natively in a notebook or converted to an application API. Bring your own client in situations with remote connectivity and connect to all the C3 AI Application Platform data and services using Python and R SDKs.
Open Platform
Spend more time building better models when using state-of-the-art AI/ML technologies like Spark MLlib, TensorFlow, scikit-learn, cuDNN, SciPy, Caffe, PyTorch, AWS ML, Lex, Polly, Rekognition, Azure ML, H20.ai, Stanford Core NLP, and NLTK in one collaborative data science workspace built for the enterprise.
