ABSTRACT
Is there any way to consolidate and synthesize the various types of intelligentsia into a meaningful framework? Figure 2.1 shows how some of these intelligentsia relate to each other. The inner layer refers to AI. This is the field of developing intelligent systems to support or, in some cases, replace the decision maker. AI refers to how to build intelligent computer power to supplement our human brain power. It also looks at how learning, thinking, explaining, and other cognitive processes take place. Typical applications of AI are expert or knowledge-based systems, natural language processing, case-based reasoning, speech understanding, robotics, computer vision, neural networks, genetic algorithms, and hybrid intelligent systems. Even though we are including AI as the inner layer of our intelligentsia framework, we are not saying that all knowledge management (KM), BI, CI, and strategic intelligence (SI) must therefore include AI applications and techniques. We are saying that many of the AI techniques could be useful in these other intelligentsia (such as knowledge representation techniques for developing knowledge ontologies or
case-based reasoning for help desk applications or business rule engines); however, most of these other intelligentsia do not necessarily use AI in practice.
