Adaptive Business Intelligence (ABI): Techniques and Applications

ABI-Related Technology

Since the computer age dawned on mankind, one of the most important areas in information technology has been that of “decision support”. Today, this area is more important than ever. Working in dynamic and ever-changing business environments, modern-day managers are responsible for an assortment of far reaching decisions: Should the company increase or decrease its workforce? Enter new markets? Develop new products? Invest in research and development? It seems that regardless of the decision being made or its complexity, we first need to make a prediction of what is likely to happen in the future, and then make the best decision based on that prediction. This fundamental process underpins the basic approach of various Adaptive Business Intelligence (ABI) technologies suitable for adaptive decision support. In general, ABI refers to the intelligence of machines and stands for an important branch of computer science that aims to enable machines to make adaptive and intelligent decisions.

In this assignment, you are required to prepare a focused technical report that:

1.Reviews at least one ABI-related technology.

The suitable topics to be discussed in this report include: Regression analysis, Time Series, Fuzzy logic control, Expert systems, Data clustering, Data classification, Association rules learner, Neural network, Support vector machine (SVM), Evolutionary algorithms, Swam intelligence, or other ABI related topics.

You are free to review other ABI-related technique/technology not included in the above list as long as the link to business application is clearly stated. To do so, you need to ask for an approval from your lecture prior to starting research into the topic you want to study.

Since the computer age dawned on mankind, one of the most important areas in information technology has been that of “decision support”. Today, this area is more important than ever. Working in dynamic and ever-changing business environments, modern-day managers are responsible for an assortment of far reaching decisions: Should the company increase or decrease its workforce? Enter new markets? Develop new products? Invest in research and development? It seems that regardless of the decision being made or its complexity, we first need to make a prediction of what is likely to happen in the future, and then make the best decision based on that prediction. This fundamental process underpins the basic approach of various Adaptive Business Intelligence (ABI) technologies suitable for adaptive decision support. In general, ABI refers to the intelligence of machines and stands for an important branch of computer science that aims to enable machines to make adaptive and intelligent decisions.

In this assignment, you are required to prepare a focused technical report that:

1. Reviews at least one ABI-related technology.

The suitable topics to be discussed in this report include: Regression analysis, Time Series, Fuzzy logic control, Expert systems, Data clustering, Data classification, Association rules learner, Neural network, Support vector machine (SVM), Evolutionary algorithms, Swam intelligence, or other ABI related topics.

You are free to review other ABI-related technique/technology not included in the above list as long as the link to business application is clearly stated. To do so, you need to ask for an approval from your lecture prior to starting research into the topic you want to study.
2. Highlights and discusses at least one cutting-edge development of the technology.
3. Assesses the practical value of the technology for solving complex business problems.
4. Discusses the future research directions and development of the technology