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Prescription for Profit
- Source :
- Journal of Innovation Management, Vol 5, Iss 2, Pp 3-7 (2017), Journal of Innovation Management; Vol 5 No 2 (2017); 3-7
- Publication Year :
- 2017
- Publisher :
- Universidade do Porto, Faculdade de Engenharia (FEUP), 2017.
-
Abstract
- AI is being marketed as a panacea solution or a complex “black box” by the PR spin doctors. How to profit from AI in business applications is still unclear. The lack of understanding of knowledge representation, data structures and feature engineering, are a few of the core underlying problems, devoid of easy solutions. This short guide is a note on strategy with respect to the use of AI tool kits. What is necessary for rational use and integration of AI tools with business are humans.
- Subjects :
- Feature engineering
cognition
vision
lcsh:Management. Industrial management
Knowledge representation and reasoning
Computer science
speech
digital twins
Profit (economics)
GeneralLiterature_MISCELLANEOUS
synapse
Management of Technology and Innovation
For profit
analytics
ontology
Medical prescription
lcsh:Technological innovations. Automation
Engineering (miscellaneous)
syntax
semantics
computational rationality
erp
logic
lcsh:HD45-45.2
Management science
business.industry
knowledge representation
neurobiology
Rational agent
Data structure
neural networks
innovation
Management
rational agents
ComputingMethodologies_PATTERNRECOGNITION
machine learning
data
Analytics
ai
lcsh:HD28-70
business
management
Subjects
Details
- Language :
- English
- ISSN :
- 21830606
- Volume :
- 5
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of Innovation Management
- Accession number :
- edsair.doi.dedup.....18423bca612b7517d69356affb1fc200
- Full Text :
- https://doi.org/10.24840/2183-0606_005.002