A cloud-based computing framework for artificial intelligence innovation in support of multidomain operations
Year of publication: |
2022
|
---|---|
Authors: | Robertson, James ; Fossaceca, John M. ; Bennett, Kelly W. |
Published in: |
IEEE transactions on engineering management : EM. - New York, NY : IEEE, ISSN 0018-9391, ZDB-ID 160438-7. - Vol. 69.2022, 6,2, p. 3913-3922
|
Subject: | Artificial intelligence (AI) | artificial intelligence for technology management | cloud computing | collaboration | design of experiments | IS design | new product development process | productivity in software development | R&D management | systems engineering | technology adoption | technology evaluation | Künstliche Intelligenz | Artificial intelligence | Westliche Staaten | Western countries | Innovationsmanagement | Innovation management | Innovation | Cloud Computing | Cloud computing | Produktentwicklung | New product development | Softwareentwicklung | Software development | Produktgestaltung | Product design |
-
Lee, Young-A., (2022)
-
The interplay of digital technologies and the open innovation process : benefits and challenges
Barlatier, Pierre-Jean, (2020)
-
Disruptive technologies : a business model perspective on cloud computing
DaSilva, Carlos M., (2013)
- More ...
-
The 1987 [nineteen hundred and eighty-seven] Constitutional Accord
Robertson, James R., (1987)
-
Environmental impact assessment in Canada : proposals for change
Robertson, James R., (1990)
-
Reform of British central government
Robertson, James, (1971)
- More ...