Prescription for Profit

Shoumen Palit Austin Datta

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.


Keywords


AI; Digital Twins; Rational Agents; Logic; Ontology; Knowledge Representation; Data; Analytics; Computational Rationality; Neural Networks; Cognition; Machine Learning; ERP; Syntax; Semantics; Synapse; Speech; Vision; Neurobiology; Innovation; Management

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© FEUP EdiçõesThe International Journal on Multidisciplinary Approaches on InnovationISSN 2183-0606