
Explore artificial intelligence and automated decision support systems, comparing narrow and strong AI, and examining AI applications from virtual assistants and recommender systems to medical diagnostics and real-time decision making.
Explore scenario-based analysis of expert systems in healthcare diagnosis, financial advisory, and technical support. See how inference engines use knowledge bases and if-then rules to diagnose conditions and troubleshoot issues.
In today's data-rich business environment, the ability to extract actionable insights from complex datasets is crucial for strategic decision-making. This course introduces students to expert systems, a branch of artificial intelligence designed to emulate human decision-making processes through the use of knowledge representation, inference mechanisms, and heuristics. Expert systems play a pivotal role in enhancing business intelligence (BI) by automating decision support and analytical tasks across various domains. In the evolving landscape of business analytics, expert systems stand out as powerful tools for automating decision-making processes and extracting valuable insights from complex datasets. This course delves into the theory, design principles, and practical applications of expert systems within the realm of business intelligence (BI) and analytics. Participants will explore how expert systems facilitate data-driven decision-making, enhance predictive capabilities, and optimize operational efficiencies across various business domains. In the era of big data and advanced analytics, expert systems play a pivotal role in augmenting human decision-making capabilities within organizations. This course provides a comprehensive exploration of expert systems as powerful tools for decision support and business intelligence (BI). Participants will learn to leverage these systems to enhance predictive modelling, automate complex decision processes, and optimize strategic outcomes across various business domains.