Abstract
Background/Objectives: The science of support for decision-making has undergone many changes thanks to the remarkable development in the science of networks and Artificial Intelligence. Decision support was born through the integration of management science, operational research and cognitive science. Now this science is growing in line with the results of advanced research in the field of database management, Internet networks, intranet networks, extranet networks, good systems and neural networks, genetic algorithms and gas logic. Method: Management Science, Operations Research and Cognitive Science are the basic concepts of decision support. We find the concept of decision, the decision process and the concept of different models to study the decision-making process. We find how to simulate and simulate real systems (modeling, descriptive models and methods). Mathematical models used in solving these models, such as linear and nonlinear programming methods and the theory of frames and rows. Artificial Intelligence (AI) became one of the hottest topic and a promising methodology trending in many industries and businesses. Artificial Intelligence is a computer-based science developed to analyze data, tackle problems, and discover trends and similarities. Findings: This study shed the light on the importance of using AI in supporting the big and small businesses through adapting the novel advantages gained by Artificial Intelligence to overcome routine or complicated problems that usually take a lot of effort and resources such as data analysis and forecasting markets and customers’ preferences. Also, in this article, the experience of several entrepreneurs who have augmented us with their own knowledge on how they used Artificial Intelligence in their corporations will be demonstrated. Application/Improvements: The application of this study will be on internet technology that has been greatly contributed to the development of collective decision support systems through virtual meeting sessions and Brainstorming sessions without the need to be physically present in one place. Keywords: AI, Decision Making and Marketing, Enterprise, Intelligent Systems, ML
Highlights
Artificial Intelligence (AI) has a wide range of beneficial effects in business, for example, shopping experience be improved by knowing customers browsing patterns and habits for money transactions[1]
There is great use of Artificial Intelligence techniques and Machine Learning by startups to enable them to find innovative solutions and compete in the market. This is because there is no access to data, computing power and resources for Artificial Intelligence for all companies, which is why we focus on Amazon Web Services (AWS) to provide an easy-to-use set of services and tools for our customers
It helps the decision maker to relate the characteristics of the problem and the problem itself and helps him to identify the opportunities available through her ability to learn
Summary
Artificial Intelligence (AI) has a wide range of beneficial effects in business, for example, shopping experience be improved by knowing customers browsing patterns and habits for money transactions[1]. Transportation sector such as airlines, trains and buses deal with millions of travelers on daily basis, Al provided a smart realtime tracking for their routes maps and arrivals times. The article described the anticipated impact of AI to be mostly among 8 sectors: Healthcare, automotive, financial services, transportations and logistics, technology, retail, energy and manufacturing Such technology will have a major impact on the efficiency of manage-.
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