Importance of understanding DSS and AI as part of the business
Importance Decision Support System
A DSS is known as a computerized system that is useful in supporting determinations, judgments and also actions that are to be taken in organizations. A DSS is also useful in carrying an analysis of big data; hence, compiling the report, which can be essential in solving problems and coming up with judicious decisions. The types of information that will be provided in this compiled report include target/projected revenue, amount of sales from the previous undertakings, and cost operation in a business organization.
Understanding a DSS is very critical for business organizations. It is because a DSS is useful in gathering and analyzing data, and thus, producing a comprehensive report that will be used in the business organization. In this regard, a DSS system is very different from the common applications in the business, which has the primary function of data collection. The humans can computerize or power the DSS system. In this regard, systems can be useful in analyzing information and establish informed decisions for business organizations. As a result, business organizations can come up with judicious decisions at a faster rate (Bačić & Fadlalla, 2016). Don't use plagiarised sources.Get your custom essay just from $11/page
The DSS is used by the operators in planning for activities of an organization; for example, in compiling information and data that is used in synthesizing it into AI. These systems are employed by upper level management in running the operations of an organization. For instance, DSS may be useful to a company when carrying a project in determining the level of its revenue in the next 6 months based on assumptions made on type of products that will be sold. Because of an increased number of factors with the projected figure, DSS is vital in summarizing this calculation since it cannot be carried manually. In this regard, DSS is important in integrating different variables and generating outcomes/alternative outcomes depending on companies past sales of its products. DSS will be useful in presenting information to customers that can be easily be understood (Paschek, 2018). In this regard, its benefits will be evident due to the reason that it can be used in generation of different kinds of reports based on the needs of business organizations. For instance, DSS can be beneficial in generation of data where the information will be presented graphically in forms of bar charts. It will be used in representing the projected revenue of an organization. Thus, understanding DSS will show the level of advancement that has happened and how it is now easy for the application to be installed in devices such as laptops, and desktops. Other forms of applications can also be found in mobile devices. The DSS is of great importance for users traveling frequently, as it will enable users to get information without the need of visiting an organization.
Importance of understanding AI in a Business Organization
According to de-Carvalho et al., (2016), artificial intelligence (AI) involves a situation where machines are used in simulating human intelligence, more specifically the use of computers systems. AI involves the process of learning, where the information is acquired and rules for using such data; secondly, reasoning, which refers to use of rules in coming up with good conclusions; self-correction. AI also involves applications such as speech recognition, machine vision, and expert systems that are being used in simulating human intelligence. Action Intelligence can be considered as strong or weak depending on it abilities to recognize the human abilities.
Understanding AI is important in in enabling companies and individuals to carry experiments that can be very critical for business, for example, they can sample different platforms to be used before making commitments. Contrary to weak AI, strong AI system can be useful in finding solutions without having the interventions of humans.
The use of AI tools has offered new functionality for business organizations. However, it is also important to understand ethical questions that are associated with its use due to dee learning algorithms that are used in advanced AI tools. Due to the reason that human choses the type of data to be used in AI training programs, there is likelihood of biasness, and thus, it is important for the process to be closely monitored (Power & Heavin, 2017). Some business organizations believe that AI has a significant relationship with popular culture resulting into fears among the public. It is because they fear it will bring significant changes to the workplace and life. However, researchers have provided that AI will be essential in enabling individuals understand how it adds values to products and services, and not necessarily replace human beings in the workplace. As a result, understanding AI is vital for organizations to recognize these fears from the public, and address them promptly.
References
Bačić, D., & Fadlalla, A. (2016). Business information visualization intellectual contributions: An integrative framework of visualization capabilities and dimensions of visual intelligence. Decision Support Systems, 89, 77-86.
de Carvalho, D., Rocha, R., Fernandes, V., & Neves, S. (2016, July). Business Intelligence: Future Perspectives (April, 2016). In Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering (pp. 89-92). ACM.
Paschek, D., Luminosu, C. T., Draghici, A., & Mateescu, A. (2018). Artificial Intelligence and the Way of Changing Decision-Making for Business. Management, 16, 18.
Power, D. J., & Heavin, C. (2017). Decision support, analytics, and business intelligence. Business Expert Press.