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Full-Text Articles in Business
Quantum Machine Learning For Credit Scoring, N. Schetakis, D. Aghamalyan, M. Boguslavsky, A. Rees, Marc Rakotomalala, Paul Griffin
Quantum Machine Learning For Credit Scoring, N. Schetakis, D. Aghamalyan, M. Boguslavsky, A. Rees, Marc Rakotomalala, Paul Griffin
Research Collection School Of Computing and Information Systems
In this paper we explore the use of quantum machine learning (QML) applied to credit scoring for small and medium size businesses (SMEs). A quantum/classical hybrid approach has been used for two years of experimentation with several models, activation functions, epochs, other parameters. Results are shown from the best model, using two quantum classifiers and a classical neural network, applied to data for companies in Singapore. We observe significantly more efficient training for the quantum models over the classical models for comparable prediction performance. Practical issues are also explored including a quadratic computational slow down with the number of qubits …
Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha
Studying The Executive Perception Of Investment In Intelligent Systems And The Effect On Firm Performance, Noel Romesh Wijesinha
FIU Electronic Theses and Dissertations
This research was conducted to examine the relationship between investment in intelligent systems resources and capabilities (based on artificial intelligence and machine learning algorithms) and the effect on company performance. Despite existing research on the benefits of adopting intelligent systems, companies have been slow to adopt as there is lack of research on intelligent systems use cases that will increase firm performance. This research study used resource-based view (RBV) and dynamic capabilities (DCF) theory to investigate firms’ investment in intelligent systems resources that build intelligent systems capabilities and the association to organization performance dimensions, revenue and profits. To answer this …