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D DATA-15: Explore emerging trends and disrupting technologies (e.g. Artificial Intelligence), evaluate advantages / drawbacks for adoption in Earth observation and identify most relevant use cases. Summarise analysis in the form of white papers.
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Number:
DATA-15
Title:
Explore emerging trends and disrupting technologies (e.g. Artificial Intelligence), evaluate advantages / drawbacks for adoption in Earth observation and identify most relevant use cases. Summarise analysis in the form of white papers.
Status:
Open
Creation Year:
2019
Completion Date:
2020 Q4 (115 days remaining)
Cumulative Delay:
None
Original Completion Date:
Nov. 30, 2020
Resources (FTE):
0.0
Resources (USD):
$0.00
Description:

There is a need to enable rapid transfer of new technologies, techniques and expertise from ICT domains and artificial intelligence communities to the world of EO research and application. Specific communities, such as the Artificial Intelligence (AI) community are already formulating specific requirements toward EO data and product providers. Improved data analysis is a key driver to increase the usability and use of Earth Observation data, in particular by user communities which have not been acquainted with EO. The action will survey existing/new Big Data Technologies and tecniques, and assess their applicability in Earth Observation.

Link to GEO Work Programme:
External Reference:
Responsible Users:
Chris Lynnes
Responsible CEOS Entities:
WGISS
Contributing Agencies:
Progress Reports:
2019-09-07 03:10:24 UTC

First dedicated session held at WGISS#46 meeting in October 2018. Next planned at WGISS#47.

christopher.s.lynnes@nasa.gov | 2019-09-27 19:11:19 UTC

A workshop was dedicated to the topic of Artificial Intelligence and Machine Learning at WGISS-47 in Silver Sprint, MD. The talks from that workshop were:

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Created:
2019-09-07 03:10:24 UTC
Last Updated:
2019-09-27 19:11:19 UTC