In a broad sense, information is structured, processed and organised structured information. It gives meaning to data and allows decision making in several different ways. For instance, a particular customer’s sale in a certain restaurant is financial data-this becomes financial information if the business can identify the trend of the highest or lowest sales in the past year. This financial data becomes advice when the business can predict the future trends based on past trends. This type of information is very useful in planning and helps businesses to run their businesses more efficiently.
Expert systems, on the other hand, are very similar to information systems. They store large amounts of data, process it in an efficient way and allow the users to access the information as they need it. Examples of these types of systems are decision-making systems and data warehouses. These types of systems allow users to access the information that they require quickly and make informed decisions. Examples of such systems include complex software applications and web-based services.
So what does all this mean? In a broader sense, an expert system is made up of a set of computer programs that can recognise patterns, predict the behaviour of humans and make recommendations on how to increase productivity and cut costs. On the other hand, an artificial intelligence network applies statistical methods to large volumes of data and creates a richer meaning and better recommendations. Both these types of systems have the ability to make better informed decisions about various problems which in turn improve businesses and make them more efficient.