Data Connectors
Virtual Data Lake
Unified Data Image
Object Models
Custom
Pre-Built / Extended
The C3 AI 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.
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 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.
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