Virtual Data Lake
Unified Data Image
Pre-Built / Extended
Use on-demand Jupyter environments running in configurable containers with open-source libraries from Conda, PIP, or CRAN.
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.
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.