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1. Introduce researchers of all stripes to the C3 .ai systemAI Suite
2. Help researchers determine what level of training they will need to leverage C3.ai's resources
   
3. Point researchers directly to relevant documentation they will need
4. Provide worked examples of different research workflows and how they may be ported into the C3.ai environment, or may use C3.ai's resources

If you have questions not covered by this guide, please contact the DTI team at the email help@c3dti.ai 

Introduction to the C3

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AI Suite

The C3 .ai AI Suite is a data analytics engine designed to make the ingestion and analysis of heterogeneous data sources as painless as possible. The C3 .ai platform AI Suite 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 platformAI Suite, there is a one-hour C3.ai DTI webinar describing its capabilities here: https://www.youtube.com/watch?v=cYoU1CTw8K8.

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Like any other API porting your own workflows will take some care and time to learn properly. Please leverage this guide to make understanding the C3 .ai platform AI Suite and porting your workflow as quick and easy as possible.

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Use this guide to determine what training you need to utilize C3.ai resources effectively. We have identified four categories of usage of the C3 AI Suite. ai platform. We include basic examples of workflows which might fall into that level, pros and cons of operating on that level, and a list of training resources we recommend resources researchers completing on the DTI training environment before starting their C3.ai allocations. This will ensure researchers will be able to use their allocation as efficiently as possible.

Examine the high level overviews of each level below, then click the section titles to go to more in-depth discussions related to that level, like the recommended training.

Level 1: Use Public C3 AI COVID-19

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Data Lake Only

For many researchers, accessing the public API for the COVID-19 Federated Data Image will be enough for their research goals. The public API provides fetch access to many datalake objects, metrics access to some time series data such as case data, and allows you to pull local copies of those objects and metrics results into your local compute environment. 

C3 AI Suite access is not needed for Level 1!

Level 2: Full C3

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AI COVID-19 Data Lake Access

Full access to the Datalake offers access to all stored COVID-19 Datalake data while still allowing the researcher to use whatever analysis framework they so choose with their own compute resources. This level offers the fastest startup time while still ensuring access to all data. Once you learn how to query data in C3, that data can be streamed to your compute resources where you can use your language and tools of choice.

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Follow our DTI Readiness Checklist to determine if you're ready to get started using the C3 AI Suite.

Covid-19 Datalake

As part of the initial C3 DTI, C3 is curating the Covid-19 Datalake. Follow the link above for more detailed information about this Datalake.

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This section introduces How researchers will be expected to manage their allocation while on the C3 .ai platformAI Suite.

This section will be expanded once the DTI team understands how this procedure will look to the researcher.

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