MADI - Strategic Foresight and Knowledge Management infrastructure for ARMD/TACP/CAS
Description
The CAS Discovery team is developing, testing and using digital infrastructure to meet the pace of expected deliverables in an automated, efficient, collaborative manner, including taking advantage of AI/ML capabilities.
Detailed example
Recommendations and associations as natural language output.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
A digital infrastructure would enable a curated problem database. It is essential to minimize rework due to not being able to find previous data, information, and analyses and having to repeat past work. This type of infrastructure would be adaptable to other innovation areas at NASA, especially those that are working in “problem space” rather than technology development space. In addition MADI is able to speculate on futures and generate scenarios. MADI is also able to provide recombinant innovation support to identify ways to use archived technologies and proposals in new ways.
Controls / human review
ATO: Not reported; PIA: Not published