Intelligent System: Extended Repsonses

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Discuss how intelligent systems are used in enterprise computing to automate decision-making.

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Intelligent systems in enterprise computing use artificial intelligence and machine learning to automate decision-making processes. For example, in finance, fraud detection systems analyse transaction patterns to flag suspicious activity automatically. In customer service, chatbots handle common queries without human intervention. These systems increase efficiency, reduce errors, and provide faster responses. However, they must be regularly updated to remain accurate and fair, especially when dealing with personal or sensitive data.

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Evaluate the advantages and disadvantages of using intelligent systems in managing enterprise operations.

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Intelligent systems offer several advantages such as improved productivity, 24/7 operation, and data-driven insights. They help enterprises streamline tasks, reduce human error, and analyse large datasets quickly. For example, supply chain systems can automatically reorder stock based on demand predictions. However, disadvantages include high initial costs, dependence on technology, and potential job displacement. There are also ethical concerns regarding bias in AI algorithms. Despite these challenges, when used responsibly, intelligent systems greatly enhance enterprise operations.

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Explain the role of intelligent systems in personalising customer experiences in enterprises.

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Intelligent systems analyse customer data to create personalised experiences, such as recommending products based on past purchases. This improves customer satisfaction and increases sales. For example, e-commerce platforms use algorithms to display relevant items to each user. These systems also enable targeted marketing and faster customer support. The effectiveness of these systems depends on the quality and security of the data they use.

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Analyse the ethical considerations involved in using intelligent systems in enterprise environments.

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Using intelligent systems raises ethical issues such as data privacy, algorithmic bias, and lack of transparency. Enterprises must ensure that AI systems do not discriminate based on gender, race, or age. They should also be transparent about how decisions are made, especially when they affect people’s lives. For example, an AI system used for hiring must avoid bias in its recommendations. Ethical use builds trust and ensures compliance with laws and social expectations.

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Justify the integration of intelligent systems into enterprise computing systems to improve decision support.

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Integrating intelligent systems improves decision support by providing real-time analysis and predictive modelling. These systems can process large volumes of data to suggest optimal actions. For instance, a retail business might use AI to forecast sales and manage inventory accordingly. This leads to better planning and cost savings. The justification lies in their ability to enhance accuracy, speed, and strategic outcomes, making them a valuable asset to modern enterprises.

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Describe how data is collected, stored, and manipulated in an intelligent enterprise system.

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In an intelligent enterprise system, data is collected through smart devices like sensors, apps, or websites. For example, a smart fridge in a supermarket can collect temperature data every hour. Other systems collect data from customer purchases, emails, or sensors in machines.

The collected data is stored in a secure cloud or enterprise database. This database protects the data using passwords, encryption, and backup systems so it is safe from loss or cyberattacks.

The system then manipulates (changes or uses) the data to help the business. For example, the system can analyse customer buying patterns and suggest what products to order next. It can sort, filter, or graph the data to help managers make better decisions. Some systems use artificial intelligence to predict future trends or send alerts when problems are found.

This process helps the enterprise save money, reduce errors, and make faster decisions.

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Explain how intelligent systems help meet the needs of a range of enterprises. (4 marks)

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Intelligent systems help different businesses by using data to make smart decisions. For example, retail stores use AI to suggest products to customers. Banks use AI to detect fraud. Each business uses intelligent systems differently based on their needs, which helps improve services, reduce costs, and make better decisions.