Exam 2: Artificial Intelligence Concepts, Drivers, Major Technologies, and Business Applications
Exam 1: Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support21 Questions
Exam 2: Artificial Intelligence Concepts, Drivers, Major Technologies, and Business Applications53 Questions
Exam 3: Nature of Data, Statistical Modeling, and Visualization33 Questions
Exam 4: Data Mining Process, Methods, and Algorithms15 Questions
Exam 5: Machine-Learning Techniques for Predictive Analytics30 Questions
Exam 6: Deep Learning and Cognitive Computing56 Questions
Exam 7: Text Mining, Sentiment Analysis, and Social Analytics13 Questions
Exam 8: Prescriptive Analytics: Optimization and Simulation17 Questions
Exam 9: Big Data, Cloud Computing, and Location Analytics: Concepts and Tool12 Questions
Exam 10: Robotics: Industrial and Consumer Applications64 Questions
Exam 11: Group Decision Making, Collaborative Systems, and AI Support26 Questions
Exam 12: Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors54 Questions
Exam 13: The Internet of Things As a Platform for Intelligent Applications60 Questions
Exam 14: Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts61 Questions
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Advancements in AI are improving several areas in the insurance industry, mostly in issuing policies and handling claims.
(True/False)
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Describe implementation model and why you feel it will be significant.
(Essay)
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The ________ is a people-made machine that is desired to be as intelligent, creative, and self-aware as humans.
(Short Answer)
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The report "AI and the Future of Accountancy" from ICAEW (2017) points to the use of machine
learning for detecting ________ and predicting fraudulent activities.
(Short Answer)
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One of the goals of AI is to ________ and properly react to changes in the environment that influence specific business processes and operations.
(Short Answer)
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This activity can be complex because it is necessary to make sure what knowledge is needed. It must fit the desired system.
(Multiple Choice)
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The INRIX case illustrates to us how the collection and analysis of a selected subset of information can improve vehicles' mobility in large cities.
(True/False)
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What refers to the integration of digital information with the user environment in real time?
(Multiple Choice)
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For many intelligent systems to work, it is necessary for them to have knowledge. The process of acquiring this knowledge is referred to as:
(Multiple Choice)
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AI can help in predicting the impact of different customer service options using ad targeting.
(True/False)
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List the ways Meister (2017) suggests introducing AI to HRM operations.
(Essay)
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Salesforce ________ is an AI set of technologies that is used for enhancing customer interactions and supporting sales.
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