Co-Chairs: Jebb Stewart / Matt Austin
Location: Emerald 1
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Cloud Computing, Data Science, AI, and Big Data are evolving faster than the operational environment, resulting in missed opportunities. Scientists need easy access to cutting edge technology to experiment and evaluate its usefulness. This session explores getting started with Cloud, how others use these tools, and the advantages, challenges, and visions in working with these capabilities.
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Presentations (
abstracts in this Google doc):
1. Jon O'Neil: Public Data Access Lessons Learned from the NOAA Big Data Project
2. Cheryl Santiago: NOAA Cloud Reference Architecture
3. Matt Austin: Results of the NOAA Cloud Sandbox Experiment
4. Tim Haverland: Serverless computing - A Quantum Leap into the Cloud?
5. Kathryn Shontz: NESDIS Common Cloud Solution
6. Jebb Stewart: Engineering for Cloud Computing
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Link to Session Recording (session is the second half of the recording)
:https://transcripts.gotomeeting.com/#/s/dd08038127fd6d6928ed50518a7d0fb3daa8a59bfe4b3470f85e4804fa37d7c7.
Notes: document on Google DriveSlides:
presentations folder on Google Drive
