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Terms in this set (14)
According to Shardaet al.(2020), what is the evolution of such computerized support to the current state of analytics/data science and artificial intelligence? P. 22
1970s: structured, periodic reports managers used for decision making. Expert systems
1980s: ERPs, relational database management, reducing data replication
1990s: Dashboards and Scorecards with KPIs
2000s: BI systems, real time data
2010s: Big Data, unstructured data, Hadoop
According to Shardaet al.(2020),what are the drivers, capabilities, and benefits of artificial intelligence? p. 79
Drivers: Interest in smart machines and artificial brains
Low cost of AI applications versus high cost of labor
Availability of data
Reduced computing cost
Benefits: Faster task completion
Consistency, no mistakes
Do not rest or sleep
Limitations: Lack human touch
Lack attention to surroundings
Programmed for destruction
According to Shardaet al.(2020),what is business reporting and its historical evolution? p. 164
... Improving evidence based, optimal managerial decision making.
Use internal and external data.
Key performance indicator KPI
According to Sharda et al. (2020),what are the privacy issues, pitfalls, and myths of data mining? p. 242
Privacy Issues: PII
Records should be de-identified
Pitfalls: Selecting the wrong problem
Insufficient data prep
Ignoring suspicious findings
Myths: Dedicated database
According to Sharda et al. (2020), what are the advantages and disadvantages of support vector machines compared to artificial neural networks? p. 273
According to Sharda et al. (2020), what is deep learning and how has it changed the world of computing? p.316
... adds to traditional machine learning the ability to automatically acquire knowledge required to accomplish its task. Deep learning is helping enterprises make accurate and timely decisions by harnessing Big Data resources. It is also allowing for facial and speech recognition, which require a great deal of knowledge about the world.
According to Sharda et al. (2020),what is sentiment analysis? p. 418
... also known as opinion mining, subjectivity analysis and appraisal extraction. It tries to find what people think about a certain topic.
According to Sharda et al. (2020), what are (a) sensitivity analysis, (b) what-if analysis, and (c) goal seeking? p. 486
Sensitivity Analysis: attempts to assess the impact of a change in the input data or parameters on the proposed solution. Used to reduced sensitivities.
What-if analysis: What happens to the solution if an input variable, assumption, or parameter value is changed. Used to find answers to questions.
Goal Seeking: calculates the values of the inputs necessary to achieve a desired output. Working backwards from the solution.
According to Sharda et al. (2020), what are (a) Hadoop, (b) MapReduce, and (c) NoSQL as they relate to Big Data analytics? p. 523
Hadoop: Open source framework for processing, storing, and analyzing massive amounts of distributed, unstructured data.
MapReduce: Distributes processing of large multistructured data files across a cluster of machine.
NoSQL: Serve discrete data stored among large volumes of multistructred data to end-user and applications.
According to Sharda et al. (2020), what are common components of robots? p. 595
Power Controller: Batteries of Direct Current
Sensors: Direct a robot in its surrounding
Effectors: Robot Body, hands and legs
Actuator: define how the robot moves
Controller: The brain, commands.
According to Sharda et al. (2020),what is crowdsourcing, and how does it support decision making and problem solving? p. 633
Outsourcing tasks to a large group of people. Gives access to a variety of ideas and suggestions.
According to Sharda et al. (2020), what are expert systems? p. 650
computer based system that emulates decision making or problem solving of human experts. Transferring expertise to a machine. Finance, marketing, HR, etc.
According to Sharda et al. (2020), what are the benefits and drivers of the Internet of Things? p. 694
Benefits: Reduce cost through automation
New revenue streams
Increased prediction accuracy
Drivers: More things connected
Widely availability of internet
Increased data speed
According to Sharda et al. (2020),what is the future of intelligent systems? p. 760
AI will change everything for the better.
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