You have been given a grant as part of the new C3.ai Digital Transformation Institute (DTI)!
To make the start of your DTI experience as fast as possible, we have assembled a set of resources to:
If you have questions not covered by this guide, please contact the DTI team at the email firstname.lastname@example.org
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.
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 and porting your workflow as quick and easy as possible.
See this page for a comprehensive list and categorization of the available training materials. This includes C3.ai Documentation, DTI introductions, and DTI created examples and exercises.
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 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.
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!
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.
Some researchers will want to write their own C3 package and leverage more of the AI Suite. C3 allows researchers to define their own types and methods to integrate their data into the C3 AI Suite – either independently or alongside the COVID-19 Datalake. This allows researchers to use C3 data analytics methods such as timeseries metrics just as they would on other Datalake data. Researchers will also have the ability to share their data with other researchers in the DTI by sharing their package. Adding another researcher's package as a dependency to your package will also bring another researcher's data into your package as well.
Some researchers will want to bring state-of-the-art ML workflows to C3.ai. C3.ai can support such workflows, but extra work may be needed.
Follow our DTI Readiness Checklist to determine if you're ready to get started using the C3 AI Suite.
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.
This section introduces the process to access C3.ai. Generally speaking, once you receive your grant, the DTI team will reach out and discuss with you what your needs are. The process will be:
In addition to the materials mentioned above, the DTI will also hold regular office hours to field any question from researchers, perform tutorials and demonstrations. Please see the link above for the current schedule.
This section introduces How researchers will be expected to manage their allocation while on the C3.ai platform.
This section will be expanded once the DTI team understands how this procedure will look to the researcher.
Here you can find information about the special compute resources available to C3.ai DTI researchers.
No problem! Please send an email to email@example.com with a description of your issue and one of our team will work with you to resolve it.
If you feel aspects of this guide are incomplete or inaccurate, please send an email to firstname.lastname@example.org with the issue or suggestion, and we will work to incorporate it to make the documentation better. We appreciate the new perspective more eyes can bring to a software project!
Jay Roloff - Executive Director
Matthew Krafczyk - Data Analyst
Yifang Zhang - Data Analyst
Larry Rohrbach - Executive Director
Eric Fraser - Chief Technology Officer
Greg Merritt - DevOps Lead
Matt Podolsky - Managing Director of Research Technology