Harnessing Case-Based Reasoning (CBR) with CloodCBR to Empower Business Intelligence
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Abstract: This talk will explore the Case-Based Reasoning (CBR) methodology and the potential of the CloodCBR framework to enhance business intelligence and decision-making. We will discuss CBR's core principles and practical applications, illustrating how it can address common decision-making challenges. Thereafter, we will discuss the CloodCBR framework as we highlight its features and capabilities, making CBR accessible to both technical and non-technical professionals. We will explore real-world use cases, from enhancing customer support to improving product recommendations and quality assurance. Finally, we gain insights into the future of CBR and its integration with emerging AI and machine learning technologies such as Large Language Models (LLMs).
Bio:Ikechukwu Nkisi-Orji is a Research Fellow with the Artificial Intelligence and Reasoning (AIR) group of the School of Computing, Robert Gordon University (RGU) Aberdeen. With background in mathematics and computer science, Ike has worked on several projects to develop intelligent information systems involving research and techniques in natural language processing, semantic technologies (ontology engineering and alignment, and ontology-based retrieval) and machine/deep learning. Some of his recent works are industry collaborations that leverage CBR to solve real-world problems. Ike is the key architect of CloodCBR, a robust framework designed to ease the application of CBR to industrial-scale applications.
