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A concise overview of key concepts related to decision-making, artificial intelligence (ai), and emerging technologies within the context of a cis exam module. It presents definitions and examples of different decision-making processes, types of ai, and technologies like machine learning, virtual reality, and augmented reality. Structured as a series of questions and answers, making it a valuable resource for students preparing for exams or seeking a quick understanding of these topics.
Typology: Exams
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The six-step decision-making process - ANS-1. problem identification
Operational Decision-Making - ANS-Employees develop, control, and maintain core business activities required to run the day-to-day operations. STRUCTURED DECISIONS
Managerial Decision-Making - ANS-employees are continuously evaluating company operations to hone the firm's abilities to identify, adapt to, and leverage change. SEMI-STRUCTURED DECISIONS
Strategic Decision-Making - ANS-managers develop overall business strategies, goals, and objectives as part of the company's strategic plan
Structured Decisions - ANS-Situations where established processes offer potential solutions
Semi-Structured Decisions - ANS-Occur in situations in which a few established processes help to evaluate potential solutions, but not enough to lead to a definite recommended decision
Unstructured Decisions - ANS-Occurs in situations in which no procedures or rules exist to guide decision makers toward the correct choice
Machine Learning (ML) - ANS-a type of AI that enables computers to both understand concepts in the environment and to learn
Artificial Intelligence (AI) - ANS-Simulates human intelligence such as the ability to reason and learn
Supervised Learning - ANS-A type of machine learning where algorithms are trained by input data and its corresponding output data. (EX: student learning a subject by studying questions and their answers)
Unsupervised Learning - ANS-a type of machine learning where an algorithm is trained with information that is neither classified nor labeled, and clusters them into groups
Transfer Machine Learning - ANS-transferring information from one machine learning task to another
Reinforcement Learning - ANS-The training of machine learning models to make a sequence of decisions
Neural Networks - ANS-a category of AI that attempts to emulate the way the human brain works
Deep Learning - ANS-a process that employs specialized algorithms to model and study complex datasets; the method is also used to establish relationships among data and datasets
Virtual Reality - ANS-A computer-simulated environment that can be a simulation of the real world or an imaginary world
Augmented Reality (AR) - ANS-the viewing of the physical world with computer-generated layers of information added to it