digital-management-11-artificial-intelligence-machine-learning
Digital Management #11 - Artificial Intelligence & Machine Learning
Artificial intelligence (AI) studies ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative. Machine learning (ML) is a subset of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are different algorithms (e.g. neural networks) that help to solve problems. This session examines the impact of AI and ML in business and industries.
Reading:
- Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71.*
- Sun, Z., Sun, L., & Strang, K. (2016). Big Data Analytics Services for Enhancing Business Intelligence. Journal of Computer Information Systems, 58(2), 162-169.
- Bohanec, M., Borštnar, M. K., & Robnik-Šikonja, M. (2017). Explaining machine learning models in sales predictions. Expert Systems with Applications, 71, 416-428.
- Truby, J., & Brown, R. (2021). Human digital thought clones: the Holy Grail of artificial intelligence for big data. Information & Communications Technology Law, 30(2), 140-168.
- Yafooz, W. M., Bakar, Z. B. A., Fahad, S. A., & Mithun, A. M. (2020). Business Intelligence Through Big Data Analytics, Data Mining and Machine Learning. In Data Management, Analytics and Innovation (pp. 217-230). Springer, Singapore.
- Deepa, N., & Prabadevi, B. (2020). Advanced Machine Learning for Enterprise IoT Modeling. In Business Intelligence for Enterprise Internet of Things (pp. 99-121). Springer, Cham.
- Peluang masa depan Blockchain, Harian Kontan, 18 Agustus 2016. Available at http://nofieiman.com/wp-content/images/paper-peluang-masa-depan-blockchain.pdf.
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English