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C3.ai is a data analytics engine designed to make the ingestion and analysis of heterogeneous data sources
as painless as possible. The C3.ai platform joins data from multiple sources into a single unified federated data image.
With the federated data image defined, C3.ai then provides an API to access that data, and in the case of time-series data,
perform numerous transformations and computations all producing normalized time-series data at regular intervals.

If you want more background on the C3.ai platform, there is a one-hour C3.ai DTI webinar describing its
capabilities here: https://www.youtube.com/watch?v=cYoU1CTw8K8.

C3.ai also supports R and Python Jupyter notebook analysis of the federated data image. These notebooks provide a
great way for researchers to analyze data close to where the data is stored. While C3.ai supports many data science
capabilities familiar to the researcher, some expected functionality may be missing. For these cases, C3.ai supports
implementing new data processing functions in python and javascript.

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What types of software can be run on C3.ai?

• Nearly any python Python module may be installed and used through pip or conda.
• Nearly any R package may be installed and used within the R juptyer environment.

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